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About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from...

About the RoleJoin a small team building AI agents and open-source tools for improving software instrumentation and telemetry.

API Integration Developer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

Lirio is a technology/software company that provides expertise in a variety of behavioral science domains (e.g., behavioral economics, social psychology, public health), data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being across an individual’s lifespan. Lirio’s behavior change AI platform unites behavioral science with advanced artificial intelligence (AI) to deliver Precision Nudging health interventions. Precision Nudging is the application of behavioral science to health interventions personalized by AI to each individual that overcome barriers to action at the right time and place for scalable, behavior change.

This is a remote role with the opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship.

To ensure an excellent onboarding experience and integration into the company, new colleagues will spend their first week onsite at one of our offices in Tennessee. Travel expenses will be paid. This is a requirement.

Position Summary

The Software QA Lead Engineer is accountable for quality strategy and execution across Lirio’s cloud-native platform, user interfaces, and customer integrations. This role leads a shift-left quality approach across squads (Platform, Enterprise, Data/ML, etc.), owning test strategy, automation, and quality gates for web/UI experiences, services, APIs, event-driven workflows, and data flows in a regulated healthcare environment.

This role involves mentoring QA engineers, designing and implementing test automation frameworks, and conducting code and test reviews, while partnering closely with Engineering, Product, Cloud/SRE, and Customer Operations to ensure releases are reliable, observable, and audit-ready.

Essential Duties & Responsibilities

Quality Assurance Leadership (50%)

• Lead the design, implementation, and execution of comprehensive test strategy across APIs, services, event-driven workflows (Kafka), and UI surfaces.

• Own and evolve automated test coverage (unit, integration, contract, end-to-end) and maintain a risk-based manual test strategy where automation is not practical.

• Ensure test coverage for functional, regression, integration, performance, and reliability testing (timeouts, retries, idempotency, failure modes).

• Advocate for quality engineering practices (TDD where appropriate, CI quality gates, code review standards, and testability in design).

• Define and maintain quality gates in CI/CD (e.g., minimum coverage thresholds, contract test pass, critical path E2E pass, vulnerability scan pass where applicable).

• Partner with Cloud/SRE to validate release readiness via observability (logging, metrics, tracing) and operational dashboards

• Embed quality and testability considerations into feature and system design by reviewing application logic, APIs, data models, event contracts, and UI workflows in partnership with engineers.

• Establish and enforce standards for automation quality, including flakiness reduction, stabilization practices, clear ownership, and expectations for timely remediation of broken or unreliable tests.

• Define and document QA processes and best practices.

Product Owner & Development Support (10%)

• Collaborate with product owners and developers to clarify requirements and acceptance criteria.

• Participate in backlog refinement and sprint planning to ensure testability of features.

• Facilitate agile ceremonies as needed.

Mentorship & Subject Matter Expertise (25%)

• Build and maintain shared QA practices, documentation, and knowledge-sharing mechanisms (playbooks, training, cross-coverage) to avoid single points of failure across squads and releases.

• Standardize testing approaches for event-driven systems, including message schema validation, backward compatibility, replay scenarios, idempotency, ordering assumptions, and failure handling (Kafka and similar messaging technologies).

Continuous Learning & Innovation (10%)

• Stay current with industry trends, tools, and technologies in software testing.

• Promote continuous improvement and innovation within the QA team.

• Evaluate and adopt tooling that improves cycle time (local test environments, ephemeral environments, test data management).

Production Support & Issue Resolution (5%)

• Support production releases, participate in incident triage, and drive root cause analysis with Engineering, SRE/Cloud, and Customer Operations.

• Track defect escape trends and drive corrective actions (test additions, gating changes, process improvements).

• Triage and resolve defects, collaborating with development and support teams.

Other

• Regular and reliable attendance.

• Perform other duties as assigned.

Qualifications

• Bachelor’s degree in related field preferred

• 5-7+ years of related experience

• Test automation for APIs/services (e.g., JUnit/TestNG for JVM services, PyTest for Python services)

• UI automation experience (e.g., Cypress or Playwright, Jasmine) where applicable

• Performance testing (e.g., Gatling, k6, JMeter)

• Contract testing (e.g., Pact or equivalent)

• Observability tooling familiarity (Datadog/OpenTelemetry concepts)

• CI/CD tools and processes

• Version control (e.g., Git)

• Cloud platforms (e.g., AWS, Azure)

• Scripting and programming languages (e.g., Java, TypeScript, Groovy, Python)

• Agile methodologies (e.g., Scrum, XP, SAFe)

• Databases/SQL

• Kafka

• Kubernetes

• Leadership & coaching skills

• Ability to operate in ambiguity and improve systems iteratively (not waiting for perfect process)

• Strong judgment around risk-based testing and release decisions

• Strong organizational and time management skills

• Excellent communication and collaboration abilities

• Adaptability and problem-solving skills

• Ability to translate complex technical concepts for non-technical stakeholders

Benefits

• Medical (HSA available)
• Dental
• Vision
• Short-term & long-term disability (company-paid)
• Life & AD&D (company-paid)
• 401K with company match
• 10 paid holidays, quarterly company closure dates, + holiday week company closure
• Flexible time off policy
• Work from home
• 6 weeks paid parental leave
• Salary range: $130k-$150k

MotorK sits at the intersection of deep vertical complexity - automotive SaaS, 10,000+ dealerships, enterprise-grade requirements - and a company that has gone all-in on AI as its primary engine of scale. We believe vertical SaaS captures the most value from AI, and none of that value is reachable unless the data underneath it is modeled, governed and engineered right.

The Head of Cloud will lead the evolution of MotorK’s cloud infrastructure environment to a state of the art AI driven platform engineering team.

We’re seeking candidates who bring:

• Leadership Excellence: A proven history of guiding teams and projects to success.
• Technical Proficiency: A strong understanding of modern technologies and the ability to adapt quickly.
• AWS & Kubernetes Mastery: Hands-on experience with these platforms, enabling you to build and manage complex systems.
• All In on AI: We are extreme on AI adoption, we do everything with AI, cloud infra is no difference

This role offers the opportunity and autonomy to make decisions in the cloud and infrastructure domain for the leading SaaS company in the European automotive industry and to guide your colleagues in software development to adopt best practices in CI/CD, SRE, and infra maintenance.

• Extensive experience (minimum of 8 years) working in a live production cloud infrastructure is essential. Experience in environments serving thousands of clients with SLA commitments is highly advantageous.

• Proven experience in production-critical environments with SRE framework adoptions is necessary. You will be expected to develop/build the observability platform and lead the implementation of a mature SRE framework across company products and development teams, ensuring SLO/SLA for our customers.

• Obsessed on AI. Everything should be AI First / AI driven / Done with AI

• Good Knowledge of Cloud Services, Cloud Architecture, Cloud Governance & Cost Control experience is essential, as MotorK is a cloud-native environment.

• Solid understanding of:

- Infrastructure as a code at scale.

- AWS Governance Experience, with a focus on Security & Networking.

- FinOps and Cost Controlling.

- Disaster recovery and business continuity in cloud environments.

• Solid experience in CI/CD tools and frameworks and DevOps adoption as you are required to evolve the CI/CD platform and help other teams in adopting best practices in continuous deployment.

• This is a leadership position. You will lead your team and champion the use of best practices throughout MotorK’s Tech organization. Prior experience in team management and the ability to communicate effectively in senior management settings are essential for this role.

• Salary from €85,000/year with the final offer adjusted based on experience and skill set.

• Meal vouchers

• 26 days holiday + national holidays

• 30 days a year to work from wherever you want

• A flexible hybrid setup

• Genuine room to grow - nationally and internationally. We move fast, and so do careers here.

MotorK is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any kind. Our company is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at MotorK are based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, age, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking layer, persistence, and dependency injection. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Staff Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Build agentic workflows to accelerate migrations across a multi-million line of code repository.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications.
• Experience in influencing larger (100+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally.
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor’s degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$217,000—$303,900 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started.

Join us to put AI to work for people.

Job Description

About the role

Health Log Analytics (HLA) ingests, stores, and analyzes the logs that power ServiceNow’s AIOps suite. We want it to be the data backbone teams trust to find problems early and fix them fast.

HLA is a data platform for operational logs at high volume, built for ServiceNow’s large enterprise customers. The work spans the full data path: collection and ingestion, routing and enrichment, durable storage and retention, and fast, cost-aware query. Our ingest builds on OpenTelemetry, and we have our own Rust-based log storage. As data volume, customer needs, and AI-driven use cases grow, we need the platform to get more reliable, more efficient, and more useful.

We’re looking for a senior technical leader to help set where HLA goes next. You’ll work side by side with engineering and product leadership on the roadmap. You’ll bring a clear point of view and show it with a prototype, not just a slide.

You’ll set the technical bar for experienced engineers. You’ll do it by being a great teammate, not the loudest person in the room.

What you’ll do

• Help shape the HLA roadmap with engineering, product, and leadership. Bring both vision and a reality check.
• Work directly with customers to make sure HLA keeps delivering value as their needs change. Turn their feedback into clear, actionable input for product and the roadmap.
• Set architecture direction across ingest, storage, and query, and across teams you don’t own.
• Write down your point of view, then build a prototype that helps others see it and get behind it.
• Say no, with reasons. That includes AI ideas with no evidence behind them, and timelines or designs that don’t fit today’s constraints. Know when to push past those constraints, too.
• Lead deep design reviews that raise the bar and leave people feeling sharper, not smaller.
• Define the reliability and efficiency bar for the HLA data path: completeness, durability, latency, availability, tenant isolation, and unit cost.
• Lead the technical approach to hard transitions, such as storage migrations, schema changes, replay, and upgrades with little or no downtime.
• Set clear architectural boundaries and contracts for the teams building collection, ingest, storage, anomaly detection, query, and AIOps experiences.
• Show how we build with AI. Weigh ideas against customer value, data quality, reliability, and cost. Run small experiments to help us decide what to scale.
• Set the example on quality, on-call, and learning from incidents.
• Mentor senior engineers and tech leads. Help grow the next technical leaders.
• Work as a real partner to engineering and product leadership. Learn in the open.

Qualifications

To be successful in this role you have

• Experience in leveraging or critical thinking about how to integrate AI into work processes, decision making, or problem solving. This includes using AI powered tools, automated workflows, analyzing AI-driven insights, or reasoning about AI’s impact on how infrastructure is built and run.
• 12+ years building and operating production distributed systems, with substantial ownership of large-scale data or platform systems. Equivalent depth shown through sustained technical leadership counts too.
• Broad grounding across data ingestion, storage and query, and AI on top of data. Deep expertise in at least one.
• Experience with ingest tools like Kafka, Pulsar, or Kinesis, and with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs
• A record of changing the direction of teams you didn’t own, through credibility and clear thinking
• Evidence-based judgment on AI. You know where it belongs and where it doesn’t, and you’ve built safeguards for correctness, safety, and cost. You’ve shipped with it, or you’re a strong proponent with a clear point of view.
• Good judgment on tradeoffs: consistency, latency, cost, and operational burden
• Comfort with Kubernetes and cloud infrastructure at scale
• Fluency in at least one of Go, Java, Scala, Rust, or Python. You prototype and review deeply, and you write code when it counts.
• Clear communication. You can explain a tricky design to a new hire or a VP and have both of them get it.

Nice to Have:

• A background in observability, log analytics, OpenTelemetry or AIOps
• Experience at an AI-native company, or building agents and LLM-based features
• Experience with multitenant SaaS and per-tenant isolation

Who you are

• Humble, smart, and you care about people
• You have experience working remotely and leading remote teams
• You make the people around you better, and you share the work and the credit
• You’re comfortable when the problem isn’t fully defined, and you help define it
• You turn small, messy things into big, solid ones
• You care about the people who run what you build

Why join us

You’ll work on real scale problems with real customers. You’ll have room to shape the architecture and the direction of a product that matters. And you’ll join a team that values clear thinking, honest feedback, and shipping.

For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you’d like.

The Safety and Moderation organization builds detection, automation and tools that help keep Reddit safe, healthy, and scalable in accordance with Reddit Rules. In this team on safety, we focus on proactive detection of platform violating content and users so we can take appropriate corrective action.

We’re looking for a Staff Backend Engineer, who has interest in using applied ML to improve our automated detection and applying appropriate enforcement. We are looking for an engineer who thrives in a dynamic environment, working across systems and product surfaces to drive impact.

This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

Responsibilities:

• Work cross-functionally with product, data science, operations and other engineering counterparts to execute on product and business strategy to keep our platform safe.
• Contribute to the full development cycle: ideation, technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs,and help shape our roadmap.
• Lead a team of thoughtful, fast-moving, and motivated engineers. Set and define standards that improve developer workflows, recommend best practices, and help coach and mentor engineers on the team to further their professional development.
• Innovate on new solutions and continuously learn and improve your technical and non-technical abilities.

Required Qualifications:

• 8+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, Ruby.
• BS degree in Computer Science, a similar technical field of study or equivalent practical experience.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
• Experience partnering effectively with cross-functional teams in a fully remote environment and the ability to discuss complex topics with technical and non-technical audiences.
• [Bonus] Applied ML experience for a product or business solution.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-SP1

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$217,000—$303,900 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

About LastPass

LastPass delivers Secure Access Essentials, helping individuals and organizations manage and protect access to AI, applications, and credentials straight from the browser. Trusted by more than 100,000 businesses and millions of users worldwide, LastPass blends strong security with everyday simplicity. From discovering unapproved AI and applications to reducing login friction and securing credentials across the business, LastPass delivers on its mission to give everyone seamless access to everything they need to work, move fast, and stay protected as their environments evolve.

Curious about our products? Visit our website and try it free!

We welcome new ideas, support your growth, and recognize your value, if this aligns with what you are looking for in your next career move, Join Us!

LastPass is looking for a Software Engineer (.NET):

As a .NET Engineer on the team, you will build and evolve the backend commerce and payment platforms that support LastPass subscriptions, billing, and global payment processing. You will help modernize critical systems, strengthen platform reliability, and deliver integrations with payment providers.

About the Team:

This Team is a core commerce engineering team within LastPass’s Data & Commerce Cluster. The team is responsible for architecting, scaling, and maintaining the core backend platforms that power global e-commerce, billing, and payment processing for LastPass.

We are working mostly with .NET, in rare cases using Angular.

If you are passionate about complex problem solving and motivated by scale, then this is the role for you!

Who will you work with?

You will work closely with fellow .NET engineers, SDETs, QA engineers, database developers, and engineering leaders to build, test, and support reliable commerce and payment services. You will collaborate with Product, Finance, Data, Operations, and other engineering to deliver secure, seamless payment experiences for LastPass customers.

What are some of the exciting challenges you will be working on?

• Developing scalable .NET services and REST APIs. Delivering payment gateway integrations and regional payment methods
• Contribute to planning and delivery of features in collaboration with a dynamic team
• Advocate for non-functional requirements and cost-effective solutions. Develop, test, and maintain solutions within your domain
• Collaborate with other teams, engage in decision-making, and influence technical direction
• Contribute to a successful, customer-facing application, shaping it with new features to meet user needs

What does it take to work at LastPass?

• Proficient in C# and .NET Core for web app development
• Skilled in REST API creation and consumption
• Experienced with relational databases and EF Core
• Familiar with OOP best practices, Docker, and web security
• Good communication skills
• Collaborative team player excelling in problem-solving

It’s great, but not required:

• Experience with microservice architecture
• Experience in Commerce systems and different payment providers
• Zuora developer knowledge
• Experience with AWS including secret manager (or other Cloud provider) and background services
• Foundational experience with Angular

Why LastPass?

• The leader in secure access
• High-growth, collaborative environment with inclusive teams
• Remote-first culture
• Competitive compensation
• Flexible Paid Time Off policies, including but not limited to: Quarterly Self-Care Days (4 extra paid days off annually) and Volunteer Days
• Parental leave
• Comprehensive health coverage, including dependents
• Home office setup support
• LastPass Families free account for up to 5 members
• Continuous learning and development opportunities, including an annual learning stipend to invest in your growth
• Peer-to-peer recognition through Quantum Workplace
• Employee Assistance Program for well-being support
• Remote work stipend to support your home office needs
• Short-Term or Remote-Centric Work Arrangements for added flexibility

Unlock your potential with us - your skills, experience, and unique perspective matter more than just checking the boxes. Apply today, and let’s build the future together!

We’re building an inclusive community that reflects the people of all races, genders, sexual orientations, national origins, backgrounds, and perspectives who share our world.

For more information about how we process your personal data and your rights, please refer to our Candidate Privacy Notice.

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What you’ll be doing:

The Senior Software Engineer acts as a reliable driver of quality and velocity, ensuring seamless execution across time zones.

• Develop, test, and deploy scalable, secure, and exceptionally well-documented Go, NodeJS, or Python services. Ensure all code meets high standards for performance and maintainability, with an emphasis on reducing latency for global users.
• Design and develop automated test cases for both new features and legacy services, ensuring that new code is covered and actively reduces regression risk. Champion the use of CI/CD gates to enforce quality standards automatically.
• Partner with Product Management and UX across multiple time zones to refine requirements, assess technical feasibility during feature discovery, and ensure the engineering roadmap aligns with business value.
• Focus on defining alerts and runbooks that enable reliable, zero-downtime deployment capabilities for distributed operations.
• Help the engineering team to improve processes, promoting the effective use of automated tools and leveraging AI to accelerate development cycles (e.g., code generation, test generation, dependency tracing)

We’re looking for:

• 8+ years of industry programming experience, with a proven track record of delivering end-to-end production quality, complex and scalable software products.
• Proficiency in Go, NodeJS, and/or Python. Willingness to learn VueJS as needed for full-stack integration.
• Deep understanding of core Auth/IAM technologies such as OAuth 2.0, OIDC (OpenID Connect), JWT, and IAM systems.
• Aptitude for Infrastructure as Code (Terraform) and cloud technology concepts.
• Demonstrated ability to thrive in a geographically distributed team environment, relying on asynchronous communication, written documentation (GitOps), and meeting strict Definition of Done (DoD) practices.
• Excellent organizational skills and technical leadership skills, capable of driving consensus and clear direction in a cross-functional environment, including the ability to facilitate effective decision-making across multiple time zones.

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

You must be located in and authorized to work in the country noted in the job description to be considered for this role.

Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don’t go unaddressed.

Language:

JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud.  Please note JumpCloud is not accepting third party resumes at this time.

JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

About Vercel:

Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

About the Role

You’ll lead the engineering team responsible for Vercel for Platforms. This product enables companies to build their own platforms on Vercel, from AI app builders and coding agents to SaaS products serving thousands of customers. We provide the infrastructure to programmatically deploy and run their customers’ applications, with custom domains, tenant isolation, and a seamless developer experience. This team is strategic to Vercel’s growth. Winning a platform means powering the applications and businesses built on top of it.

We’re looking for an engineering leader to own this horizontal team. While the team is intentionally small, the scope spans deployment infrastructure, domains, identity, billing, observability, and developer tooling. It’s a deep systems and scale challenge: evolving Vercel to support platforms managing millions of tenants and applications while making that complexity feel simple. This role combines cross-team coordination, technical direction, product judgment, and broad organizational influence to shape a strategic growth engine for Vercel

This position is hybrid based in SF

What You Will Do:

• Build and grow a high-performing team of engineers through hiring, coaching, mentorship, and thoughtful career development.
• Foster a culture of ownership, collaboration, and high engineering standards while creating an environment where engineers can do their best work.
• Partner closely with Product, Design, and other engineering teams to define roadmap priorities and execute against ambitious product goals.
• Occasionally review and contribute code to stay close to the technology and unblock the team when needed.
• Drive operational excellence through strong engineering processes, incident management, and continuous improvement.
• Balance short-term product delivery with long-term investments in technical quality and platform scalability.

About you:

• 8+ years building and operating large-scale platforms or multi-tenant systems
• 5+ years managing engineers
• Strong technical foundation. You can review system designs, understand data model challenges, and evaluate infrastructure tradeoffs
• Proven ability to translate business goals into technical strategy and drive cross-org alignment
• Track record establishing trust, psychological safety, and clear expectations; skilled at timely, candid feedback
• Strong facilitator in technical conflict. You listen, synthesize, decide, and bring the team with you
• Clear communicator who sets expectations, gives direct feedback, and builds trust across teams

Benefits & Compensation:

• Competitive compensation package and stock options.
• Comprehensive, inclusive healthcare package.
• Opportunities for mentorship and professional growth, including attendance at industry events.
• Flexible Time Off with a recommended minimum of four weeks per year, plus paid holidays.
• Remote-friendly culture with teammates across multiple time zones.
• Dedicated equipment and work-from-home budget to help you create an effective workspace.

The San Francisco, CA base pay range for this role is 262,000-348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Disclosures:

• Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
• Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Realize your potential by joining the leading performance-driven advertising company!

As a Staff Engineer - Data Platform on the infrastructure department in ourTel Aviv Office, you’ll play a vital role in as a Staff Engineer – Data Platform in the Infrastructure Department in our Tel Aviv office, you’ll play a vital role in building the core data platform that powers Taboola’s reporting, billing, ML training, experimentation, revenue optimization, and business decision-making — ensuring data is reliable, fresh, scalable, and easy to use.

You’ll be a senior technical leader across the Data Platform group, owning the hardest technical challenges across Spark, Iceberg, Kafka, and StarRocks. As a hands-on individual contributor, you’ll drive technical excellence and make every engineer around you better through mentoring and technical leadership.

1.4 billion users. 950,000 requests per second. 150TB of fresh data every day. 800M metrics every minute. That’s the scale Taboola’s Data Platform group operates at.

To thrive in this role, you’ll need:

• 10+ years of hands-on software engineering, with deep expertise in Java or an equivalent JVM/object-oriented language
• Deep, hands-on expertise in Apache Spark — internals, Spark SQL and the Catalyst optimizer, and performance and cost tuning at scale
• Production experience with Apache Iceberg (or another open table format such as Delta Lake or Hudi) — table design, partitioning, compaction, and metadata/catalog management
• Deep expertise in Apache Kafka — internals, partitioning and delivery semantics, and operating high-throughput pipelines in production
• Hands-on experience with StarRocks or a similar MPP/real-time analytics engine (Druid, ClickHouse, Trino)
• Lead by example with AI: introduce agent-based engineering workflows, measure their impact, and help the group adopt them
• A track record of designing, building, and owning large-scale distributed data systems end to end — from architecture to production reliability
• Proven experience mentoring engineers and growing technical leaders — through design reviews, code reviews, pairing, and knowledge sharing
• Ability to influence without authority and drive alignment across teams, managers, and stakeholders
• Highly proficient with Linux and Kubernetes in production
• B.Sc. in Computer Science or equivalent experience

Bonus points if you have:

• Contributions to open-source data projects (Spark, Iceberg, Kafka, StarRocks, or similar)
• Conference talks, blog posts, or other public technical writing
• Experience running Spark on GPU (RAPIDS) or other query acceleration techniques
• Experience with stream processing (Spark Structured Streaming, Kafka Streams, Flink)
• Experience with dbt and/or Airflow
• Knowledge of Ansible, Puppet, or similar configuration systems
• A track record of leveraging AI agents to accelerate engineering work
• Familiarity with how ML training pipelines consume data, to partner effectively with algo teams

How you’ll make an impact:

• Shape the technical direction of the Data Platform group — the architecture, the long-term roadmap, and the bets we make on emerging tech (Iceberg, StarRocks, GPU Spark, dbt, AI tooling)
• Mentor and grow engineers across the group: lead design reviews, pair on hard problems, review code with care, and help strong engineers grow into technical leaders
• Raise the engineering bar group-wide — set standards for design, code quality, testing, observability, and operational excellence
• Own the hardest problems on our stack: Spark performance and cost across 60,000+ jobs/day, Iceberg table management at Taboola scale, high-throughput Kafka ingestion, and low-latency analytics on StarRocks
• Evolve our Spark SQL platform and the core framework code used across R&D — making the call on what gets built, refactored, or retired
• Drive the evolution of our lakehouse, with Iceberg as the backbone — from ingestion through storage, compaction, and serving
• Be the go-to expert for the production health of the main Taboola data pipeline — the system behind reports, ML model training, billing, and other business-critical processes — and lead deep-dives and postmortems on the toughest incidents
• Partner with team leaders, group managers, and fellow principal engineers to shape how the platform evolves across R&D, balancing the needs of algo, product, finance, and infrastructure stakeholders
• Stay deeply hands-on — write production code, build prototypes, and prove out new technology before the group commits to it
• Represent the group internally and externally — in architecture forums, hiring, open-source communities, and conference talks
• Directly shape how billions of people discover the internet

Here are some of the things engineers in our group have done — or are doing right now

• Pioneered deployment of Spark SQL workloads on GPU with RAPIDS
• Delivered a real-time pipeline reports product serving all our customers on top of Druid
• Actively migrating a proprietary ETL system to dbt-core
• Pioneered usage of Iceberg (and gave conference talks about it) — yes, we manage it ourselves
• Productionizing our StarRocks deployments
• Building pipelines on top of Spark Streaming, Iceberg, and dbt
• Extending data solutions to help algo engineers iterate faster Our Tech Stack

Java, Spark, Kafka, Iceberg, Hadoop, Cassandra, Vertica, StarRocks, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow, dbt, Druid

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Instagram, X, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ID

#LI-Hybrid

It’s a new day with a new opportunity at 8am!

About the role:

8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

8am builds software that helps professionals run stronger businesses. Our platform powers payments, client experience, and operational workflows for legal, accounting, and other service-based businesses. U.S. based professionals count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

More than 250,000 professionals across the U.S. rely on our products every day. As we continue to grow, we’re investing in the next generation of our platform and are looking for experienced engineers who want to help shape its future.

What you’ll do:

• Collaborate with product managers and stakeholders to translate business problems into AI-powered search and retrieval solutions.
• Design and build hybrid search systems combining keyword search (BM25) and semantic/vector search to power intelligent discovery across large datasets.
• Develop and optimize retrieval pipelines used in RAG (Retrieval Augmented Generation) and AI-driven applications.
• Build scalable pipelines for document ingestion, indexing, embedding generation, and search ranking.
• Partner with the Data team to ensure the right data is collected, enriched, chunked, and indexed for retrieval systems.
• Design and implement AI-powered services that combine LLMs with search infrastructure.
• Write high-quality Python code to manipulate data, build search pipelines, and evaluate retrieval performance.
• Develop tools and infrastructure to support relevance tuning, search quality evaluation, and continuous improvement of ranking models.
• Work with our cloud operations team to deploy AI search services, monitor performance, and improve latency, relevance, and reliability

About you:

• 5+ years of professional software engineering experience, ideally in backend systems, or search infrastructure.
• Experience building search or retrieval systems for large document stores
• Hands-on experience with Elasticsearch, OpenSearch, Solr, or similar search platforms.
• Experience implementing hybrid search combining keyword-based retrieval with vector embeddings.
• Strong Python or equivalent modern tech stack development skills.
• Familiarity with document processing pipelines (chunking, embeddings, indexing).
• Experience building scalable data infrastructure into production SaaS systems.
• Experience working in AWS cloud environments and modern DevOps practices.

Nice to have (Preferred):

• Experience with vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Experience tuning search ranking and relevance models.
• Background in information retrieval or search relevance engineering.
• Experience building RAG systems or AI agents.
• Experience working with LLMs and retrieval-augmented architectures.
• Familiarity with large-scale document processing (OCR, structured document extraction).
• Exposure to fintech or the legal industry.

Additional Information:

The monthly gross salary range for this position is CZK 140,000 to CZK 200,000. 8am is committed to fair, objective, and non-discriminatory compensation, and actual pay may vary based on job-related knowledge, skills, experience, and education.

Why join our new 8am Czech Republic hub?

• Founding Team Impact: Be a founding engineer of our new Czech Republic R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles with the exciting opportunity to collaborate face-to-face with your team in our upcoming Brno office.
• Drive our “AI-First” Transformation: We are building a secure, massive-scale “Unified AI Platform”. Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Performance bonus opportunities and employee referral rewards
• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection
• New Brno office coming soon, with opportunities to work in-person and enjoy a flexible hybrid setup

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Applicant Data Privacy Notice:

Your personal data will be collected and retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.  Full policy linked here.

Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.

We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyone’s effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.

To support our customer, we are looking for a:

                                                       AI/ML ENGINEER - Normal

TASKS:

• Develop, train, deploy, and maintain NLP, AI, Machine Learning, LLM, and Generative AI solutions, including RAG-based architectures and software applications for business use cases.
• Build, optimize, deploy, and monitor machine learning models, classifiers, and anomaly detection systems, implementing MLOps and CI/CD practices to automate the model lifecycle, ensure scalable deployments, detect model drift, and support continuous retraining.
• Process, govern, and enhance data quality by defining data rules and controls, collaborating with stakeholders, ensuring data integrity, assessing data architectures, and mitigating bias in datasets and AI models.
• Design and coordinate the technical architecture of AI/ML solutions, working with engineering teams while applying data management and governance best practices.
• Improve and innovate AI capabilities through machine translation quality enhancements, applied research, evaluation of emerging technologies, and adoption of cutting-edge AI/ML methodologies.
• Draft technical documentation, communicate results, and ensure compliance with data protection and AI regulations while engaging both technical and non-technical stakeholders.

REQUIREMENTS:

• Excellent knowledge of Python, R, and major AI/ML libraries and frameworks, including TensorFlow, PyTorch, scikit-learn, pandas, SpaCy, and NLTK.
• Strong expertise in machine learning, deep learning, and AI algorithms, including classification models, neural networks, and predictive analytics techniques.
• Excellent knowledge of Generative AI, Large Language Models (LLMs), Small Language Models (SLMs), and related AI frameworks and architectures.
• Good knowledge of Natural Language Processing (NLP) methodologies, tools, and the end-to-end NLP system lifecycle.
• Strong experience in designing, deploying, and monitoring AI/ML solutions, applying MLOps practices for model versioning, governance, performance monitoring, and lifecycle management.
• Excellent knowledge of DevOps principles, CI/CD automation, containerization technologies, and deployment pipelines using tools such as GitLab and Docker.
• Excellent knowledge of data governance, data quality, data lifecycle management, and data preparation processes for AI and analytics projects.
• Strong experience with SQL and NoSQL databases, big data environments, data lakes, and analytics on large structured and unstructured datasets.
• Experience with cloud-based AI platforms and services, including AWS and Azure solutions for model training, fine-tuning, deployment, and LLM development.
• Good knowledge of business intelligence, data visualization, and reporting tools, including Power BI, Qlik Sense, Plotly, and Matplotlib.
• Experience in delivering AI, machine learning, and advanced analytics projects within complex organizations, including public-sector environments.
• Understanding of AI governance, AI Act requirements, AI risk management, cybersecurity principles, and AI safety and compliance best practices.

CERTIFICATES:

(Optional) One of the following or an equivalent certification: AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI and Machine Learning.

SKILLS:

• Excellent communication and interpersonal skills, with the ability to collaborate effectively in multicultural and multilingual environments.
• Ability to understand, speak, and write English and Italian proficiently, with Spanish considered an additional asset.
• Strong technical communication skills, including the ability to produce clear documentation, guidelines, reports, and presentations for both technical and non-technical audiences.
• Good stakeholder management and team coordination skills, with the ability to work effectively across cross-functional teams.
• Ability to work both autonomously and collaboratively, demonstrating flexibility, accountability, and a results-oriented mindset.
• Strong analytical and data-driven approach, supported by good knowledge of applied statistics, including statistical testing, regression analysis, and data interpretation.
• Proficiency in programming languages and tools relevant to AI development, enabling effective implementation and support of data science and machine learning solutions.
• Results-oriented and delivery-focused mindset, with a strong commitment to achieving project objectives and business outcomes.

Language knowledge: English B2+

Office: Ispra, Italy. Near-site service provision with regular on-site presence of 1 day per week. Ad hoc on-site presence may be requested with a notice period of 2 hours.

Minimum level of qualification:  Master’s degree and 5 years of experience or secondary education and 12 years of experience.

If interested, please apply!

Our personnel search is addressed to candidates of all genders.

The data will be processed and stored exclusively for the purposes of this or future selections, in compliance with the Federal Data Protection Law (LPD) and guaranteeing the rights referred to in art. 13 Legislative Decree 196⁄03 and EU regulation 679⁄2016 (GDPR)

#LI-EC1

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

The AirCover Insurance Platform team builds the systems behind AirCover, which includes Host liability insurance, Experiences liability insurance and Host damage protection. We are expanding insurance products across global markets and building the experimentation capabilities that help us understand and increase the share of Hosts and guests who are covered. You will join a fast-growing team with greenfield opportunities and a multi-year platform roadmap.

The Difference You Will Make:

• Contribute to backend services and APIs for policy, coverage, enrollment and regional rules that scale to new markets.
• Translate product and regulatory requirements into clean, well-tested code and configurable platform behavior.
• Implement experimentation hooks, logging and metrics so Product and Data Science can test offers and measure attach rate with confidence.
• Partner with Product, Design, Data Science, Legal and other engineering teams to deliver high-impact work.
• Use data to find gaps in conversion and reliability, and drive fixes and improvements.
• Participate in code reviews, technical design discussions and operational improvements across the team.

A Typical Day:

• Design, build and operate distributed backend services in a service-oriented architecture, with reliable monitoring, logging and alerting.
• Write and review code and technical designs, and apply sound engineering judgment within your scope.
• Build data pipelines and events that support analytics and experiments.
• Collaborate with infrastructure, security and privacy teams to meet high standards for data protection across regions.
• Take part in on-call rotations and help improve system reliability.

Your Expertise:

• 3+ years of professional software engineering experience, with a focus on backend services.
• Proficiency in at least one backend language such as Java, Kotlin, Python or Go.
• Experience building and operating services and APIs, with working knowledge of relational databases and SQL.
• Bachelor’s and/or Master’s degree, preferably in Computer Science, or equivalent experience.

Preferred Qualifications

• Experience with distributed systems and service-oriented architecture in a production environment.
• Familiarity with A/B testing or experimentation systems, and comfort using data to inform product decisions.
• Experience in insurance, payments, fintech or other regulated domains.
• Experience with multi-region or configurable, rules-driven platforms.
• Ability to work through ambiguity and collaborate deeply with cross-functional teams.
• Strong communication skills, able to explain technical topics to technical and non-technical audiences.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Equal Employment Opportunity:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

How We’ll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$162,000—$186,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

Our flagship AI platform, [R]AIMS (Raft AI Mission System), enables operators and engineers to rapidly build, deploy, and govern AI-powered mission workflows across highly dynamic operational environments. We are looking for an experienced Lead AI/ML Software Engineer to help shape the next phase of [R]AIMS: a technical builder-leader with deep experience designing and scaling complex production systems, someone who can make hard architecture decisions, simplify complexity, lead major engineering efforts, and raise the technical bar across the platform.

About the role:

As the Lead AI/ML Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft’s AI Mission System. You will be hands-on in the codebase, leading by doing, while also setting technical direction and raising the quality of engineering across the team.

You will partner closely with platform leadership, product, and delivery teams to drive architectural decisions, lead major technical epics from conception through delivery, and establish the engineering patterns that the platform will grow on. You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery with long-term platform integrity.

This role requires someone equally comfortable writing production systems with complex multi-vendor integrations, debugging difficult distributed systems issues, leading design reviews, and making pragmatic tradeoff decisions under ambiguity.

What you’ll do:

• Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability and building alignment across engineering and product stakeholders
• Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans and keeping cross-functional teams moving with clarity and momentum
• Simplify and rationalize distributed system architecture as the platform scales, reducing incidental complexity and improving operational reliability without sacrificing capability
• Optimize platform performance across both edge and cloud deployment targets, identifying and resolving bottlenecks in data-intensive, latency-sensitive operational environments
• Establish strong engineering foundations and reusable technical patterns that improve developer productivity and code quality across the team
• Mentor engineers at multiple levels, conducting design reviews, providing substantive code feedback, and actively elevating technical execution across the platform
• Partner with AI/ML engineers on model integration, inference optimization, and the operational deployment of agentic workflows within [R]AIMS
• Engage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense, representing Raft’s technical capabilities with credibility and clarity

What we are looking for:

• 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)
• Deep software engineering fundamentals with demonstrated ability to design, build, and evolve complex systems that perform reliably at scale
• Exceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders without requiring direct authority
• Proven experience designing and evolving distributed systems, including service decomposition, inter-service communication patterns, fault tolerance, and observability
• Strong hands-on experience with Kubernetes and cloud-native platform architecture in production environments
• Experience building data-intensive or AI-enabled production systems with real operational users and real performance constraints
• Demonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes
• Strong system design and architecture decision-making ability, with a track record of making the right call under incomplete information
• Some experience or exposure to training, fine-tuning, or deploying machine learning models in production contexts
• Ability to obtain Security+ certification within the first 90 days of employment
• US citizenship required; ability to obtain and maintain a Top Secret/SCI clearance

Highly preferred:

• Experience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production
• Experience with streaming and event-driven architectures, particularly Kafka, Kafka Streams, or Apache Flink
• Experience with platform engineering and internal developer tooling, including golden-path frameworks, shared libraries, and developer experience improvements
• Experience with real-time inference or operational AI systems in latency-sensitive environments
• Experience building secure, compliant systems for regulated or mission-critical environments, including familiarity with IL4/IL5/IL6 requirements or RMF processes
• Prior work in defense, national security, or classified program environments
• Active clearance preferred

What Success Looks Like

• [R]AIMS has a coherent, well-documented architecture that engineers at all levels understand and can contribute to confidently
• Major platform initiatives ship on time with high engineering quality, low rework rates, and clear technical rationale behind key decisions
• The engineering team is measurably stronger because of your presence: better design reviews, sharper code, cleaner systems
• Customers trust Raft technically. When you’re in the room, they leave the conversation with confidence in what we’re building and how we’re building it
• Platform complexity is decreasing relative to capability, not increasing

Clearance Requirements:

• No clearance required to start
• Must be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance preferred

Salary Range: $180,000.00 - $230,000.00

Work Type:

• Remote within the U.S.; preference for candidates located near a Raft hub (McLean, VA; Colorado Springs, CO; Tacoma, WA; Oahu, HI, Tampa, FL; Boston, MA)
• Up to 25% travel

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it’s a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm.

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our _“nadi”_ by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We’re building an AI-native culture where technology and talent are unstoppable together. And we’re just getting started.

Join us to put AI to work for people.

Job Description

About the role

Health Log Analytics (HLA) ingests, stores, and analyzes the logs that power ServiceNow’s AIOps suite. We want it to be the data backbone teams trust to find problems early and fix them fast.

HLA is a data platform for operational logs at high volume, built for ServiceNow’s large enterprise customers. The work spans the full data path: collection and ingestion, routing and enrichment, durable storage and retention, and fast, cost-aware query. Our ingest builds on OpenTelemetry, and we have our own Rust-based log storage. As data volume, customer needs, and AI-driven use cases grow, we need the platform to get more reliable, more efficient, and more useful.

We’re looking for a senior technical leader to help set where HLA goes next. You’ll work side by side with engineering and product leadership on the roadmap. You’ll bring a clear point of view and show it with a prototype, not just a slide.

You’ll set the technical bar for experienced engineers. You’ll do it by being a great teammate, not the loudest person in the room.

What you’ll do

• Help shape the HLA roadmap with engineering, product, and leadership. Bring both vision and a reality check.
• Work directly with customers to make sure HLA keeps delivering value as their needs change. Turn their feedback into clear, actionable input for product and the roadmap.
• Set architecture direction across ingest, storage, and query, and across teams you don’t own.
• Write down your point of view, then build a prototype that helps others see it and get behind it.
• Say no, with reasons. That includes AI ideas with no evidence behind them, and timelines or designs that don’t fit today’s constraints. Know when to push past those constraints, too.
• Lead deep design reviews that raise the bar and leave people feeling sharper, not smaller.
• Define the reliability and efficiency bar for the HLA data path: completeness, durability, latency, availability, tenant isolation, and unit cost.
• Lead the technical approach to hard transitions, such as storage migrations, schema changes, replay, and upgrades with little or no downtime.
• Set clear architectural boundaries and contracts for the teams building collection, ingest, storage, anomaly detection, query, and AIOps experiences.
• Show how we build with AI. Weigh ideas against customer value, data quality, reliability, and cost. Run small experiments to help us decide what to scale.
• Set the example on quality, on-call, and learning from incidents.
• Mentor senior engineers and tech leads. Help grow the next technical leaders.
• Work as a real partner to engineering and product leadership. Learn in the open.

Qualifications

To be successful in this role you have

• Experience in leveraging or critical thinking about how to integrate AI into work processes, decision making, or problem solving. This includes using AI powered tools, automated workflows, analyzing AI-driven insights, or reasoning about AI’s impact on how infrastructure is built and run.
• 12+ years building and operating production distributed systems, with substantial ownership of large-scale data or platform systems. Equivalent depth shown through sustained technical leadership counts too.
• Broad grounding across data ingestion, storage and query, and AI on top of data. Deep expertise in at least one.
• Experience with ingest tools like Kafka, Pulsar, or Kinesis, and with columnar stores, time-series databases, Elasticsearch/OpenSearch, or object-storage designs
• A record of changing the direction of teams you didn’t own, through credibility and clear thinking
• Evidence-based judgment on AI. You know where it belongs and where it doesn’t, and you’ve built safeguards for correctness, safety, and cost. You’ve shipped with it, or you’re a strong proponent with a clear point of view.
• Good judgment on tradeoffs: consistency, latency, cost, and operational burden
• Comfort with Kubernetes and cloud infrastructure at scale
• Fluency in at least one of Go, Java, Scala, Rust, or Python. You prototype and review deeply, and you write code when it counts.
• Clear communication. You can explain a tricky design to a new hire or a VP and have both of them get it.

Nice to Have:

• A background in observability, log analytics, OpenTelemetry or AIOps
• Experience at an AI-native company, or building agents and LLM-based features
• Experience with multitenant SaaS and per-tenant isolation

Who you are

• Humble, smart, and you care about people
• You have experience working remotely and leading remote teams
• You make the people around you better, and you share the work and the credit
• You’re comfortable when the problem isn’t fully defined, and you help define it
• You turn small, messy things into big, solid ones
• You care about the people who run what you build

Why join us

You’ll work on real scale problems with real customers. You’ll have room to shape the architecture and the direction of a product that matters. And you’ll join a team that values clear thinking, honest feedback, and shipping.

For positions in this location, we offer a base pay of $171,900 - $300,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

What you’ll be doing:

The Senior Software Engineer acts as a reliable driver of quality and velocity, ensuring seamless execution across time zones.

• Develop, test, and deploy scalable, secure, and exceptionally well-documented Go, NodeJS, or Python services. Ensure all code meets high standards for performance and maintainability, with an emphasis on reducing latency for global users.
• Design and develop automated test cases for both new features and legacy services, ensuring that new code is covered and actively reduces regression risk. Champion the use of CI/CD gates to enforce quality standards automatically.
• Partner with Product Management and UX across multiple time zones to refine requirements, assess technical feasibility during feature discovery, and ensure the engineering roadmap aligns with business value.
• Focus on defining alerts and runbooks that enable reliable, zero-downtime deployment capabilities for distributed operations.
• Help the engineering team to improve processes, promoting the effective use of automated tools and leveraging AI to accelerate development cycles (e.g., code generation, test generation, dependency tracing)

We’re looking for:

• 8+ years of industry programming experience, with a proven track record of delivering end-to-end production quality, complex and scalable software products.
• Proficiency in Go, NodeJS, and/or Python. Willingness to learn VueJS as needed for full-stack integration.
• Deep understanding of core Auth/IAM technologies such as OAuth 2.0, OIDC (OpenID Connect), JWT, and IAM systems.
• Aptitude for Infrastructure as Code (Terraform) and cloud technology concepts.
• Demonstrated ability to thrive in a geographically distributed team environment, relying on asynchronous communication, written documentation (GitOps), and meeting strict Definition of Done (DoD) practices.
• Excellent organizational skills and technical leadership skills, capable of driving consensus and clear direction in a cross-functional environment, including the ability to facilitate effective decision-making across multiple time zones.

Where you’ll be working/Location:

JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

You must be located in and authorized to work in the country noted in the job description to be considered for this role.

Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don’t go unaddressed.

Language:

JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why JumpCloud?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of JumpCloud’s three core values is to “Build Connections.” To us that means creating “ human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed.” - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud.  Please note JumpCloud is not accepting third party resumes at this time.

JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice:

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [email protected] with the subject line “Scam Notice”

#LI-Remote #BI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy (https://jumpcloud.com/privacy) for more information about our personal data practices.

About Vercel:

Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next. For more than a decade we’ve helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we’re scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

About the Role

We’re looking for an Engineer to lead the design and development of Vercel’s Financial Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business.

Reporting directly to the Senior Director of Data Engineering, you’ll define the technical vision for Vercel’s financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.

You’ll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn’t optional, and mentoring a team of engineers as the function grows. If you’re excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we’d love to hear from you.

What You Will Do

• Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts.
• Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs.
• Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting.
• Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements.
• Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response.
• Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms).
• Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale.
• Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel’s financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness.

About You

• 8+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end.
• Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
• Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus.
• Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
• Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy.
• Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership.
• A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments.
• Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.

Compensation & Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Disclosures:

• Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
• Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Realize your potential by joining the leading performance-driven advertising company!

As a Staff Engineer - Data Platform on the infrastructure department in ourTel Aviv Office, you’ll play a vital role in as a Staff Engineer – Data Platform in the Infrastructure Department in our Tel Aviv office, you’ll play a vital role in building the core data platform that powers Taboola’s reporting, billing, ML training, experimentation, revenue optimization, and business decision-making — ensuring data is reliable, fresh, scalable, and easy to use.

You’ll be a senior technical leader across the Data Platform group, owning the hardest technical challenges across Spark, Iceberg, Kafka, and StarRocks. As a hands-on individual contributor, you’ll drive technical excellence and make every engineer around you better through mentoring and technical leadership.

1.4 billion users. 950,000 requests per second. 150TB of fresh data every day. 800M metrics every minute. That’s the scale Taboola’s Data Platform group operates at.

To thrive in this role, you’ll need:

• 10+ years of hands-on software engineering, with deep expertise in Java or an equivalent JVM/object-oriented language
• Deep, hands-on expertise in Apache Spark — internals, Spark SQL and the Catalyst optimizer, and performance and cost tuning at scale
• Production experience with Apache Iceberg (or another open table format such as Delta Lake or Hudi) — table design, partitioning, compaction, and metadata/catalog management
• Deep expertise in Apache Kafka — internals, partitioning and delivery semantics, and operating high-throughput pipelines in production
• Hands-on experience with StarRocks or a similar MPP/real-time analytics engine (Druid, ClickHouse, Trino)
• Lead by example with AI: introduce agent-based engineering workflows, measure their impact, and help the group adopt them
• A track record of designing, building, and owning large-scale distributed data systems end to end — from architecture to production reliability
• Proven experience mentoring engineers and growing technical leaders — through design reviews, code reviews, pairing, and knowledge sharing
• Ability to influence without authority and drive alignment across teams, managers, and stakeholders
• Highly proficient with Linux and Kubernetes in production
• B.Sc. in Computer Science or equivalent experience

Bonus points if you have:

• Contributions to open-source data projects (Spark, Iceberg, Kafka, StarRocks, or similar)
• Conference talks, blog posts, or other public technical writing
• Experience running Spark on GPU (RAPIDS) or other query acceleration techniques
• Experience with stream processing (Spark Structured Streaming, Kafka Streams, Flink)
• Experience with dbt and/or Airflow
• Knowledge of Ansible, Puppet, or similar configuration systems
• A track record of leveraging AI agents to accelerate engineering work
• Familiarity with how ML training pipelines consume data, to partner effectively with algo teams

How you’ll make an impact:

• Shape the technical direction of the Data Platform group — the architecture, the long-term roadmap, and the bets we make on emerging tech (Iceberg, StarRocks, GPU Spark, dbt, AI tooling)
• Mentor and grow engineers across the group: lead design reviews, pair on hard problems, review code with care, and help strong engineers grow into technical leaders
• Raise the engineering bar group-wide — set standards for design, code quality, testing, observability, and operational excellence
• Own the hardest problems on our stack: Spark performance and cost across 60,000+ jobs/day, Iceberg table management at Taboola scale, high-throughput Kafka ingestion, and low-latency analytics on StarRocks
• Evolve our Spark SQL platform and the core framework code used across R&D — making the call on what gets built, refactored, or retired
• Drive the evolution of our lakehouse, with Iceberg as the backbone — from ingestion through storage, compaction, and serving
• Be the go-to expert for the production health of the main Taboola data pipeline — the system behind reports, ML model training, billing, and other business-critical processes — and lead deep-dives and postmortems on the toughest incidents
• Partner with team leaders, group managers, and fellow principal engineers to shape how the platform evolves across R&D, balancing the needs of algo, product, finance, and infrastructure stakeholders
• Stay deeply hands-on — write production code, build prototypes, and prove out new technology before the group commits to it
• Represent the group internally and externally — in architecture forums, hiring, open-source communities, and conference talks
• Directly shape how billions of people discover the internet

Here are some of the things engineers in our group have done — or are doing right now

• Pioneered deployment of Spark SQL workloads on GPU with RAPIDS
• Delivered a real-time pipeline reports product serving all our customers on top of Druid
• Actively migrating a proprietary ETL system to dbt-core
• Pioneered usage of Iceberg (and gave conference talks about it) — yes, we manage it ourselves
• Productionizing our StarRocks deployments
• Building pipelines on top of Spark Streaming, Iceberg, and dbt
• Extending data solutions to help algo engineers iterate faster Our Tech Stack

Java, Spark, Kafka, Iceberg, Hadoop, Cassandra, Vertica, StarRocks, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Grafana, Airflow, dbt, Druid

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
• Well-being: Competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Instagram, X, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-ID

#LI-Hybrid