Work From Anywhere in LATAM and the Philippines

Work Schedule: 9:00 AM – 6:00 PM PST (EasternTime)

An AI-powered recruiting platform is building the database layer behind its operational systems, reporting, and AI features, and is looking for a Database Engineer to design clean schemas, write efficient SQL, and make Postgres do more with less.

The company runs a production Postgres backend powering its applicant tracking system, fed by webhook-driven ingestion from external hiring tools via serverless workers and queues. As it scales, it is investing in the database foundation that will support reporting and AI consumers, and the role pairs closely with the Engineering team (which owns ingestion) and AI Engineering (which consumes datasets).

Day-to-day, the Database Engineer extends and evolves the Postgres schema across recruiting, candidates, and business operations, builds SQL views and derived tables that serve as the standard interface for reporting and AI, and optimizes query performance through indexing, partitioning, and execution-plan analysis. Success in the first 3–6 months means a completed schema audit with top-priority fixes shipped, measurable p95 gains on key dashboard queries, and column-level PII classification aligned to retention policy.

Must-Have

• 3+ years working with production PostgreSQL databases
• Advanced SQL: window functions, CTEs, JSONB, EXPLAIN analysis, and query rewriting for performance
• Relational data modeling for both OLTP and analytical use cases, including materialized views, indexing, and partitioning on OLTP Postgres
• Defining and enforcing PII, data-classification, and retention policies at the database level
• Git-based schema-migration workflows (Flyway, sqitch, or comparable) with PR review
• Basic Python or comparable scripting for one-off data operations and validation
• B2+ English (CEFR) for technical documentation read across teams

Nice-to-Have

• Experience with Supabase (RLS, auth model, Realtime, Storage)
• Experience with dbt or SQLMesh for versioning SQL transformations
• Prior work exposing datasets to AI/ML consumers (feature datasets, embedding indexes, eval sets)

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Hear why we exist, what we believe in, and who we’re building for:

Watch here: https://www.loom.com/share/863b8e426e6d48309aa8f4ea4c1c94cd

• Competitive Salary: Based on experience and skills

• Remote Work: Fully remote—work from anywhere

• Generous PTO: In accordance with company policy

• Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees

• Direct Mentorship: Guidance from international industry experts

• Learning & Development: Ongoing access to resources for professional growth

• Global Networking: Connect with professionals worldwide

Our Recruitment Process

1. Application
2. Screening
3. Skills Assessment
4. Topgrading Interview
5. Client Interview
6. Job Offer
7. Client Onboarding

Ready to Join Us?

If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.

Fundrise is a financial technology company on a mission to build a better financial system for the individual. With more than 2 million users and over $3 billion in assets under management, we are the largest direct-to-investor alternative asset platform in the United States, making institutional-quality real estate, private credit, and venture capital investments accessible to anyone. Through the software we build, we are democratizing the private investment industry.

We continue to push into new territory: our Innovation Fund (VCX) recently listed on the NYSE as one of the first public venture capital funds, and our AI subsidiary, RealAI, is bringing institutional-grade real estate intelligence to everyday investors and professionals. Fundrise has been recognized by CNBC’s World’s Top Fintech Companies (2024, 2025) and the Inc. 5000 list of fastest-growing private companies for three consecutive years (2023-2025).

While this is a fully remote role, candidates in the Washington, D.C. metro area are strongly preferred. Proximity to our team and business partners helps support in-person collaboration when needed.

We’re seeking a Lead Software Engineer to manage a team within our API Engineering group. This team owns the services at the core of Fundrise’s investor application: the APIs that drive authentication, investing, account management, and more, and it drives everything underneath our flagship investor web, iOS, and Android applications.

As a Lead Software Engineer, you’ll be measured on the output, quality, and growth of your team. This is a people-management role in which you’ll set technical direction, coach engineers, and help drive outputs through daily hands-on software engineering, making sound architectural calls, and solving the problems no one else can crack. Success in this role looks like a team that quickly and consistently turns product, operational, and compliance requirements into software to drive Fundrise forward.

In this role, you will:

• Manage and mentor a team of software engineers through effective weekly one-on-ones, deliberate delegation, and growth feedback
• Own your team’s delivery, breaking down work, coordinating across teams, and shipping against ambitious but achievable timelines
• Hold the team to a high quality bar of production code, conducting thorough code reviews and making merge and deployment decisions
• Drive design and architecture for Fundrise services and contribute to a long-term team roadmap
• Partner with Product, Design, and other Engineering stakeholders across the organization to quickly implement complex functionality
• Champion application security as a critical part of the work in a regulated financial services environment
• Own production monitoring and triage across our services and third-party integrations

Who You Are

Like our Lead Software Engineers, you spend much of your day writing code, and you measure success by what you can ship as a team rather than by your own output alone. Your technical choices are pragmatic and always in service of building what’s best for users. You hold yourself and your team to a high technical standard, and you think about solutions across multiple problem domains: performance, security, maintainability, architecture, and implementation detail. You can quickly evaluate a new technology, pattern, or language and adopt it when it genuinely serves the problem. You understand how to apply AI effectively to your own daily work and to raising your team’s output without treating it as an autopilot.

You form clear opinions and advocate for them, and once a direction is set you commit to it fully. You find real satisfaction in making an established, high-stakes platform a little better every day. You give direct feedback and expect the same in return, and accept responsibility for all outcomes.

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience
• 8+ years of professional software engineering experience, including deep expertise in Java, Spring / Spring Boot, and Hibernate
• 3+ years leading and managing engineers: running 1:1s, driving team performance through candid feedback, and owning your team’s delivery, quality, and growth
• 4+ years building and maintaining production applications on AWS, including services like ECS, CDK, S3, SQS, Lambda, DynamoDB and WAF
• A deep understanding of transactional database design and operations
• A track record of improving existing systems in operationally complex environments

Preferred Qualifications

• Demonstrated experience building and maintaining secure software, including a solid understanding of common threats and principles for writing secure code
• Comfortable tackling problems without obvious answers, and can rapidly absorb new languages and frameworks in order to implement the best software solutions
• Experience managing high performing engineering teams in
• A passion for working backwards from the outcomes the business needs to the engineering decisions that will achieve them

Benefits at Fundrise

• Remote-first work environment (must live in the United States)
• Competitive medical, dental, and vision insurance, with Fundrise contributing to both employee and dependent premiums
• Flexible Spending Accounts for medical expenses, dependent care, and parking
• 401(k) with 3% contributed by Fundrise, regardless of whether you are actively contributing yourself
• Fully covered life insurance and short-term disability
• Significant equity via our employee stock grant program
• Gympass benefit including mental health resources
• Flexible PTO
• Employee Assistance Program
• Paid parental leave

$190,000 - $250,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants based in Canadian timezones at this time.

Senior Software Engineer - Grafana Databases, SRE

The Opportunity:

We are looking for a Senior Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions.

What You’ll Be Doing:

The SRE team is embedded within the Mimir and Loki squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. We seek a senior engineer operating at the intersection of customer needs, production systems, and product engineering. In this role, you will:

• Partner closely with product engineering squads (embedded model)
• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale our reliability practices
• Ensuring our customers meet our SLO targets
• Define and evolve per-tenant SLOs and reliability models
• Proactively reduce SLO burn to prevent repeat incidents
• Serving as a primary escalation point and on-call for relevant incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews
• Influence feature design to ensure production scalability and operability
• Build automation to eliminate toil where needed
• Improve alert quality and reduce noisy escalations

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Regular 1:1s to with your manager and colleagues
• Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc.
• Improve observability of customers within their environments
• Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands
• Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle.
• Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs
• Participate in PR review and collaborating with other engineers on their Design Docs
• Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality
• Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary

Requirements:

• 6+ years engineering experience, 3+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Experience operating multi-tenant systems in production
• Strong experience designing and implementing SLOs
• Experience with one or more programming languages (e.g. Go, Python, Java, etc)
• Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling.
• Excellent problem-solving and troubleshooting skills.
• Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents)
• Ability to reason about performance, scaling, and failure modes
• Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction.
• Ability to partner deeply with product engineering teams
• We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

Compensation & Rewards:

In Canada, the compensation range for this role is CAD 164,490 - CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants based in US timezones at this time.

Senior Software Engineer - Grafana Databases, SRE

The Opportunity:

We are looking for a Senior Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions.

What You’ll Be Doing:

The SRE team is embedded within the Mimir and Loki squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. We seek a senior engineer operating at the intersection of customer needs, production systems, and product engineering. In this role, you will:

• Partner closely with product engineering squads (embedded model)
• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale our reliability practices
• Ensuring our customers meet our SLO targets
• Define and evolve per-tenant SLOs and reliability models
• Proactively reduce SLO burn to prevent repeat incidents
• Serving as a primary escalation point and on-call for relevant incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews
• Influence feature design to ensure production scalability and operability
• Build automation to eliminate toil where needed
• Improve alert quality and reduce noisy escalations

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Regular 1:1s to with your manager and colleagues
• Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc.
• Improve observability of customers within their environments
• Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands
• Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle.
• Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs
• Participate in PR review and collaborating with other engineers on their Design Docs
• Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality
• Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary

Requirements:

• 6+ years engineering experience, 3+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Experience operating multi-tenant systems in production
• Strong experience designing and implementing SLOs
• Experience with one or more programming languages (e.g. Go, Python, Java, etc)
• Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling.
• Excellent problem-solving and troubleshooting skills.
• Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents)
• Ability to reason about performance, scaling, and failure modes
• Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction.
• Ability to partner deeply with product engineering teams
• We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

Compensation & Rewards:

In the United States, the compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world’s leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We’re looking for a midlevel or senior IC to join our core engineering team. You’ll be responsible for implementing and maintaining our Java client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase.

Responsibilities

• Own and maintain our Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
• Design, develop, and maintain high-performance server applications in C/C++.
• Write message parsers and feed handlers for direct market data feeds from trading venues.
• Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
• Implement tools and libraries for petabyte-scale data processing and analysis.
• Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
• Implement monitoring and improve application uptime.
• Ensure smooth feature rollouts and updates.

Preferred background

• 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
• Strong proficiency in both C/C++ and Java.
• Experience with C# is a plus.
• Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces.
• Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility.
• Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
• Experience working with multiprocess environments.
• Comfortable with lldb/gdb.
• Good communication skills and work ethic for a remote workplace.
• An interest in low-level optimization and performance engineering.
• An interest in financial data or algorithmic trading.

Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

–

Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world’s leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We’re looking for a midlevel or senior IC to join our core engineering team. You’ll be responsible for implementing and maintaining our C# client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase.

Responsibilities

• Own and maintain our C# client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
• Design, develop, and maintain high-performance server applications in C++.
• Write message parsers and feed handlers for direct market data feeds from trading venues.
• Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
• Implement tools and libraries for petabyte-scale data processing and analysis.
• Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
• Implement monitoring and improve application uptime.
• Ensure smooth feature rollouts and updates.

Preferred background

• 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
• Strong proficiency in both C++ and C#.
• Experience with Java is a plus.
• Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces.
• Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility.
• Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
• Experience working with multiprocess environments.
• Comfortable with lldb/gdb.
• Good communication skills and work ethic for a remote workplace.
• An interest in low-level optimization and performance engineering.
• An interest in financial data or algorithmic trading.

Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

–

Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Fundrise is a financial technology company on a mission to build a better financial system for the individual. With more than 2 million users and over $3 billion in assets under management, we are the largest direct-to-investor alternative asset platform in the United States, making institutional-quality real estate, private credit, and venture capital investments accessible to anyone. Through the software we build, we are democratizing the private investment industry.

We continue to push into new territory: our Innovation Fund (VCX) recently listed on the NYSE as one of the first public venture capital funds, and our AI subsidiary, RealAI, is bringing institutional-grade real estate intelligence to everyday investors and professionals. Fundrise has been recognized by CNBC’s World’s Top Fintech Companies (2024, 2025) and the Inc. 5000 list of fastest-growing private companies for three consecutive years (2023-2025).

While this is a fully remote role, candidates in the Washington, D.C. metro area are strongly preferred. Proximity to our team and business partners helps support in-person collaboration when needed.

We’re seeking a Lead Software Engineer to manage a team within our API Engineering group. This team owns the services at the core of Fundrise’s investor application: the APIs that drive authentication, investing, account management, and more, and it drives everything underneath our flagship investor web, iOS, and Android applications.

As a Lead Software Engineer, you’ll be measured on the output, quality, and growth of your team. This is a people-management role in which you’ll set technical direction, coach engineers, and help drive outputs through daily hands-on software engineering, making sound architectural calls, and solving the problems no one else can crack. Success in this role looks like a team that quickly and consistently turns product, operational, and compliance requirements into software to drive Fundrise forward.

In this role, you will:

• Manage and mentor a team of software engineers through effective weekly one-on-ones, deliberate delegation, and growth feedback
• Own your team’s delivery, breaking down work, coordinating across teams, and shipping against ambitious but achievable timelines
• Hold the team to a high quality bar of production code, conducting thorough code reviews and making merge and deployment decisions
• Drive design and architecture for Fundrise services and contribute to a long-term team roadmap
• Partner with Product, Design, and other Engineering stakeholders across the organization to quickly implement complex functionality
• Champion application security as a critical part of the work in a regulated financial services environment
• Own production monitoring and triage across our services and third-party integrations

Who You Are

Like our Lead Software Engineers, you spend much of your day writing code, and you measure success by what you can ship as a team rather than by your own output alone. Your technical choices are pragmatic and always in service of building what’s best for users. You hold yourself and your team to a high technical standard, and you think about solutions across multiple problem domains: performance, security, maintainability, architecture, and implementation detail. You can quickly evaluate a new technology, pattern, or language and adopt it when it genuinely serves the problem. You understand how to apply AI effectively to your own daily work and to raising your team’s output without treating it as an autopilot.

You form clear opinions and advocate for them, and once a direction is set you commit to it fully. You find real satisfaction in making an established, high-stakes platform a little better every day. You give direct feedback and expect the same in return, and accept responsibility for all outcomes.

Minimum Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience
• 8+ years of professional software engineering experience, including deep expertise in Java, Spring / Spring Boot, and Hibernate
• 3+ years leading and managing engineers: running 1:1s, driving team performance through candid feedback, and owning your team’s delivery, quality, and growth
• 4+ years building and maintaining production applications on AWS, including services like ECS, CDK, S3, SQS, Lambda, DynamoDB and WAF
• A deep understanding of transactional database design and operations
• A track record of improving existing systems in operationally complex environments

Preferred Qualifications

• Demonstrated experience building and maintaining secure software, including a solid understanding of common threats and principles for writing secure code
• Comfortable tackling problems without obvious answers, and can rapidly absorb new languages and frameworks in order to implement the best software solutions
• Experience managing high performing engineering teams in
• A passion for working backwards from the outcomes the business needs to the engineering decisions that will achieve them

Benefits at Fundrise

• Remote-first work environment (must live in the United States)
• Competitive medical, dental, and vision insurance, with Fundrise contributing to both employee and dependent premiums
• Flexible Spending Accounts for medical expenses, dependent care, and parking
• 401(k) with 3% contributed by Fundrise, regardless of whether you are actively contributing yourself
• Fully covered life insurance and short-term disability
• Significant equity via our employee stock grant program
• Gympass benefit including mental health resources
• Flexible PTO
• Employee Assistance Program
• Paid parental leave

$190,000 - $250,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants based in Canadian timezones at this time.

Senior Software Engineer - Grafana Databases, SRE

The Opportunity:

We are looking for a Senior Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions.

What You’ll Be Doing:

The SRE team is embedded within the Mimir and Loki squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. We seek a senior engineer operating at the intersection of customer needs, production systems, and product engineering. In this role, you will:

• Partner closely with product engineering squads (embedded model)
• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale our reliability practices
• Ensuring our customers meet our SLO targets
• Define and evolve per-tenant SLOs and reliability models
• Proactively reduce SLO burn to prevent repeat incidents
• Serving as a primary escalation point and on-call for relevant incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews
• Influence feature design to ensure production scalability and operability
• Build automation to eliminate toil where needed
• Improve alert quality and reduce noisy escalations

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Regular 1:1s to with your manager and colleagues
• Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc.
• Improve observability of customers within their environments
• Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands
• Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle.
• Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs
• Participate in PR review and collaborating with other engineers on their Design Docs
• Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality
• Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary

Requirements:

• 6+ years engineering experience, 3+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Experience operating multi-tenant systems in production
• Strong experience designing and implementing SLOs
• Experience with one or more programming languages (e.g. Go, Python, Java, etc)
• Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling.
• Excellent problem-solving and troubleshooting skills.
• Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents)
• Ability to reason about performance, scaling, and failure modes
• Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction.
• Ability to partner deeply with product engineering teams
• We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

Compensation & Rewards:

In Canada, the compensation range for this role is CAD 164,490 - CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud’s actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applicants based in US timezones at this time.

Senior Software Engineer - Grafana Databases, SRE

The Opportunity:

We are looking for a Senior Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions.

What You’ll Be Doing:

The SRE team is embedded within the Mimir and Loki squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. We seek a senior engineer operating at the intersection of customer needs, production systems, and product engineering. In this role, you will:

• Partner closely with product engineering squads (embedded model)
• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale our reliability practices
• Ensuring our customers meet our SLO targets
• Define and evolve per-tenant SLOs and reliability models
• Proactively reduce SLO burn to prevent repeat incidents
• Serving as a primary escalation point and on-call for relevant incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews
• Influence feature design to ensure production scalability and operability
• Build automation to eliminate toil where needed
• Improve alert quality and reduce noisy escalations

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5⁄3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Regular 1:1s to with your manager and colleagues
• Reviewing and creating SLOs, proactively investigating ways in which we can further reduce budget burn for those SLOs, which can be self-directed or as the result of learnings from incidents, and may include improvements to monitoring, automation, increasing self-healing, auto-scaling, etc.
• Improve observability of customers within their environments
• Designing and implementing solutions to ensure reliability and scalability of our environments can meet rapidly increasing demands
• Develop fault-tolerant design patterns ensuring that we are considering reliability at all stages of the service lifecycle.
• Collaborating with our Engineering Leaders to help define and influence product strategy, roadmaps and technical designs
• Participate in PR review and collaborating with other engineers on their Design Docs
• Teach others about Site Reliability Engineering and communicate best practices to be applied early in development of new features and functionality
• Participate in Incident Response when applicable, including investigation through to resolution, PIR, and communication with customers via Bridge calls where necessary

Requirements:

• 6+ years engineering experience, 3+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Experience operating multi-tenant systems in production
• Strong experience designing and implementing SLOs
• Experience with one or more programming languages (e.g. Go, Python, Java, etc)
• Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling.
• Excellent problem-solving and troubleshooting skills.
• Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents)
• Ability to reason about performance, scaling, and failure modes
• Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction.
• Ability to partner deeply with product engineering teams
• We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

Compensation & Rewards:

In the United States, the compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Narvar is growing! We are looking for Full stack Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullmstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like Typescript, React, Go, Java, and GraphQL to ship complex features that drive millions of views.

You’ll join the team behind Narvar Secure and Narvar Assist — our package-protection and claims products. Secure lets shoppers opt in to shipping protection at checkout and file loss, theft, or damage claims through a branded, self-service portal. Assist uses AI and machine learning to enhance delivery-claim decisions and detect fraud in real time, resolving issues for shoppers while protecting our retailers from abuse. You’ll own live, consumer-facing claim experiences end to end — from storefront integrations (Shopify, Salesforce Commerce Cloud) and embeddable widgets, through a shared, claim-decisioning platform.

For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote.

Day-to-day

Frontend Development (Primary Focus)

• Implement new product features & support/ extend existing ones
• Build frontend platform components leveraged across our internal, external products and ecommerce storefronts like Shopify, Salesforce etc
• Work with product and design teams toTranslate product and design work (Figma) into robust, accessible, high-performance UI components
• Own frontend architecture decisions and uphold code-quality standards alongside other senior engineers, and mentor teammates through code review

Backend Development (Secondary Focus)

• Contribute to development and maintenance of backend services using primarily Golang, Node.js
• Understanding of google cloud platform (GCP), CI/CD and be able to deploy code and infrastructure components
• Work with datastores like PostgreSQL, Cloud Spanner, BigQuery, and Bigtable
• Understand and implement RESTful or GraphQL APIs

What We’re Looking For

• You have 6+ years of experience building reliable, scalable, and high-quality systems
• AI-first development — you treat AI (e.g., Claude) as your primary engineering surface, orchestrating, reviewing, and shipping through it rather than hand-writing code. You’re genuinely curious about your own AI workflow — continually experimenting, refining, and staying on the leading edge of what these tools can do — and you help the team do the same by sharing what works.
• Experience in building consumer facing applications with a frontend framework(s), such as React (preferable), Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS or Golang
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of full development life cycle and computer science fundamentals
• Strong focus on code quality and code reviews
• Experience with mentoring other engineers
• Previous startup experience strongly preferred with growth and product engineering mindset

Why Narvar?

We’re on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That’s why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you’ve ever bought something online, there’s a good chance you’ve used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we’ve served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We’re a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Remote

Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.

The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.

Narvar Pay Range

$141,000—$198,000 CAD

Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Narvar is growing! We are looking for Full stack Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullmstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like Typescript, React, Go, Java, and GraphQL to ship complex features that drive millions of views.

You’ll join the team behind Narvar Secure and Narvar Assist — our package-protection and claims products. Secure lets shoppers opt in to shipping protection at checkout and file loss, theft, or damage claims through a branded, self-service portal. Assist uses AI and machine learning to enhance delivery-claim decisions and detect fraud in real time, resolving issues for shoppers while protecting our retailers from abuse. You’ll own live, consumer-facing claim experiences end to end — from storefront integrations (Shopify, Salesforce Commerce Cloud) and embeddable widgets, through a shared, claim-decisioning platform.

For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote.

Day-to-day

Frontend Development (Primary Focus)

• Implement new product features & support/ extend existing ones
• Build frontend platform components leveraged across our internal, external products and ecommerce storefronts like Shopify, Salesforce etc
• Work with product and design teams toTranslate product and design work (Figma) into robust, accessible, high-performance UI components
• Own frontend architecture decisions and uphold code-quality standards alongside other senior engineers, and mentor teammates through code review

Backend Development (Secondary Focus)

• Contribute to development and maintenance of backend services using primarily Golang, Node.js
• Understanding of google cloud platform (GCP), CI/CD and be able to deploy code and infrastructure components
• Work with datastores like PostgreSQL, Cloud Spanner, BigQuery, and Bigtable
• Understand and implement RESTful or GraphQL APIs

What We’re Looking For

• You have 6+ years of experience building reliable, scalable, and high-quality systems
• AI-first development — you treat AI (e.g., Claude) as your primary engineering surface, orchestrating, reviewing, and shipping through it rather than hand-writing code. You’re genuinely curious about your own AI workflow — continually experimenting, refining, and staying on the leading edge of what these tools can do — and you help the team do the same by sharing what works.
• Experience in building consumer facing applications with a frontend framework(s), such as React (preferable), Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS or Golang
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of full development life cycle and computer science fundamentals
• Strong focus on code quality and code reviews
• Experience with mentoring other engineers
• Previous startup experience strongly preferred with growth and product engineering mindset

Why Narvar?

We’re on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That’s why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you’ve ever bought something online, there’s a good chance you’ve used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we’ve served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We’re a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Remote

Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.

The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.

Narvar Pay Range

$141,000—$198,000 CAD

Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Narvar is growing! We are looking for Full stack Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullmstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like Typescript, React, Go, Java, and GraphQL to ship complex features that drive millions of views.

You’ll join the team behind Narvar Secure and Narvar Assist — our package-protection and claims products. Secure lets shoppers opt in to shipping protection at checkout and file loss, theft, or damage claims through a branded, self-service portal. Assist uses AI and machine learning to enhance delivery-claim decisions and detect fraud in real time, resolving issues for shoppers while protecting our retailers from abuse. You’ll own live, consumer-facing claim experiences end to end — from storefront integrations (Shopify, Salesforce Commerce Cloud) and embeddable widgets, through a shared, claim-decisioning platform.

For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote.

Day-to-day

Frontend Development (Primary Focus)

• Implement new product features & support/ extend existing ones
• Build frontend platform components leveraged across our internal, external products and ecommerce storefronts like Shopify, Salesforce etc
• Work with product and design teams toTranslate product and design work (Figma) into robust, accessible, high-performance UI components
• Own frontend architecture decisions and uphold code-quality standards alongside other senior engineers, and mentor teammates through code review

Backend Development (Secondary Focus)

• Contribute to development and maintenance of backend services using primarily Golang, Node.js
• Understanding of google cloud platform (GCP), CI/CD and be able to deploy code and infrastructure components
• Work with datastores like PostgreSQL, Cloud Spanner, BigQuery, and Bigtable
• Understand and implement RESTful or GraphQL APIs

What We’re Looking For

• You have 6+ years of experience building reliable, scalable, and high-quality systems
• AI-first development — you treat AI (e.g., Claude) as your primary engineering surface, orchestrating, reviewing, and shipping through it rather than hand-writing code. You’re genuinely curious about your own AI workflow — continually experimenting, refining, and staying on the leading edge of what these tools can do — and you help the team do the same by sharing what works.
• Experience in building consumer facing applications with a frontend framework(s), such as React (preferable), Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS or Golang
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of full development life cycle and computer science fundamentals
• Strong focus on code quality and code reviews
• Experience with mentoring other engineers
• Previous startup experience strongly preferred with growth and product engineering mindset

Why Narvar?

We’re on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That’s why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you’ve ever bought something online, there’s a good chance you’ve used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we’ve served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We’re a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Remote

Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits.

The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location.

Narvar Pay Range

$141,000—$198,000 CAD

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Headquarters: Remote
URL: https://www.toptal.com/

About the Role

We're looking for an Oracle Integration Cloud Consultant who can own enterprise integration work end to end — discovery, architecture, implementation, migration, and production support. This isn't a "follow the ticket" role: you'll independently design and build production-grade OIC integrations connecting Oracle applications with ecommerce, ERP, CRM, finance, and supply chain platforms. If you know OIC 3 inside and out and want variety across projects and industries, this is built for that.

What You'll Do

• Design and build integrations using Oracle Integration Cloud, including Oracle and third-party adapter configuration

• Develop scheduled, event-driven, batch, and API-based integrations

• Create data mappings, transformations, validations, and orchestration workflows

• Integrate Oracle applications with ecommerce, ERP, CRM, finance, and supply chain platforms

• Implement error handling, retries, monitoring, logging, and alerting

• Define data contracts and technical documentation

• Troubleshoot integration and connectivity issues across environments

• Support deployments across development, testing, and production

• Evaluate integration architectures, platform costs, and alternative approaches

• Collaborate directly with application, infrastructure, and business teams

What You Bring

• Strong hands-on experience with Oracle Integration Cloud, preferably OIC 3

• Experience building and deploying production-grade integration flows

• Experience with at least one Oracle enterprise application (JD Edwards, Oracle ERP Cloud, E-Business Suite, PeopleSoft, or Siebel)

• Strong knowledge of REST, SOAP, JSON, XML, webhooks, authentication, and data mapping

• Experience with scheduled, event-driven, synchronous, and asynchronous integration patterns

• Experience with error handling, monitoring, troubleshooting, and operational support

• Familiarity with Oracle Cloud Infrastructure

• Strong communication, documentation, and independent problem-solving skills

Nice to Have

• Experience with JD Edwards adapters or JDE Orchestrator

• Ecommerce platform integration experience

• OIC cost modeling or process automation experience

• Gen2-to-Gen3 migration experience

• OCI AI services or MCP integration experience

Why This Role

• Variety: Multiple industries and project types — discovery, architecture, migration, and production support

• Growth path: Potential to contribute as a developer, technical lead, or integration architect depending on project scope

• Exposure: Enterprise ERP, ecommerce, cloud, and AI-enabled integration work

• Longevity: Real potential for follow-on engagements beyond the initial project

 

To apply: https://weworkremotely.com/remote-jobs/toptal-oracle-integration-cloud-oic-consultant

Description

About Us

DeepSea is a maritime technology leader, providing a unified optimisation platform that helps shipping companies cut fuel consumption, reduce emissions, and transform vessel performance across entire fleets.

Built on the most advanced maritime AI data pool in the world, DeepSea’s platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity, speed and scale.

We are trusted by some of the world’s most forward-thinking ship owners and operators, and our team spans Greece, the UK, Armenia, Romania, Singapore and Japan. As the shipping industry undergoes enormous change, we are at the centre of that transition - helping our customers take control, reduce risk, and build competitive advantage.

About the position

We are looking for an experienced Front End Developer to join our team. You will design and build intuitive, high-performance product interfaces and internal tools, working in an AI-native manner across the full front-end development lifecycle, from analysis and planning through implementation, review, and testing.

Our products are used by shipping company engineers and captains to optimise the technical operations and navigation of their vessels based on our in-house developed AI and optimisation algorithms. You will need to gain a good understanding of the domain and our research output to design improvements that make our backend infrastructure scalable and cover our customers’ needs.

Main responsibilities:

• Work in an AI-native manner across all stages of the front-end development lifecycle (including analysis, design, implementation, code review, and testing) to maximise productivity and engineering precision.

• Deliver intuitive and visually appealing user interfaces that enhance usability and overall user experience.

• Develop and maintain React-based frontend applications with clean, scalable, and maintainable code.

• Integrate frontend components with backend services, including in-house AI and optimization algorithms for vessel technical operations and navigation.

• Optimize application performance to ensure fast load times, responsiveness, and smooth interactions.

• Collaborate closely with backend engineers, architects, and DevOps teams to deliver end‑to‑end product features.

• Contribute to frontend standards, code review culture, and the continuous improvement of the team’s engineering practices.

• Work with modern build tools and development workflows to ensure efficient delivery and high-quality releases.

Requirements

Main requirements:

• BSc/MSc degree in Computer Science, Engineering, or related field.

• 5+ years of professional experience as a Web / Front End Developer, preferably with React as the primary stack.

• Strong proficiency in React.js and its core principles (component lifecycle, hooks, context, reconciliation).

• Ability and demonstrated willingness to work in an AI-native manner; leveraging AI coding assistants, agent workflows, and LLM-assisted code review as integral parts of daily engineering practice to improve productivity and quality.

• Solid understanding of JavaScript (ES6+), including asynchronous patterns, closures, and module systems.

• Hands-on experience with Redux (React Redux, Redux Toolkit).

• Excellent knowledge of HTML5 and CSS3; proficiency with SASS/SCSS and CSS Modules.

• Good understanding of CSS Flexbox, Grid, and responsive design principles.

• Experience with component libraries such as Material UI (MUI) or Bootstrap v4+.

• Familiarity with Tailwind CSS for utility-first styling workflows.

• Proficient with Git for version control in collaborative, multi-team environments.

• Experience with TanStack libraries (Query, Table, or Router) for data fetching, server state management, and table rendering.

• Experience with build tools such as Webpack or Vite, and Node.js/npm workflows.

• Strong interpersonal skills, strong interest in emerging technologies/AI tooling/front-end engineering trends.

• Collaborative mindset and willingness to work across product, design, and backend teams.

• Ability to operate effectively in a dynamic environment with evolving requirements.

• Attention to detail and commitment to high-quality, user-centred deliverables.

• Strong organisational skills and ability to manage multiple tasks and priorities.

Nice to have:

• Experience with backend technologies such as Java and/or Python.

• Experience building or prompting AI-powered UI features (LLM integrations, copilot interfaces, agent-driven tooling).

• Experience with real-time data interfaces - WebSocket, STOMP, or similar streaming protocols.

• Familiarity with data visualisation libraries such as Highcharts, Recharts, or D3.

• Experience with mapping libraries (Leaflet, Mapbox) or grid libraries (AG-Grid).

• Knowledge of additional frontend frameworks (Vue.js, Angular, etc.).

• Familiarity with Scrum or other Agile methodologies.

• Understanding of UI/UX best practices beyond implementation.

• Exposure to AI‑driven or optimization‑based systems.

What we offer

You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry, and will also receive:

• Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.

• Health Package: Private health insurance coverage and mental health - therapist benefit

• Paid leaves: emergency and medical leaves.

• Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops

• Remote Flexibility: Great office space in the heart of Athens with hybrid option.

At DeepSea, we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin, gender or sexuality, age or family status, disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed, so we do everything we can to make our environment welcoming and safe for everyone.

Data Privacy

The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful, your data will be retained for 5 (five) years to consider you for future opportunities. After this period, your data will be deleted or destroyed. In case you do not wish for the company to keep your CV and personal data, please send an e-mail to dpo@deepsea.ai.

Description

About Us

DeepSea is a maritime technology leader, providing a unified optimisation platform that helps shipping companies cut fuel consumption, reduce emissions, and transform vessel performance across entire fleets.

Built on the most advanced maritime AI data pool in the world, DeepSea’s platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity, speed and scale.

We are trusted by some of the world’s most forward-thinking ship owners and operators, and our team spans Greece, the UK, Armenia, Romania, Singapore and Japan. As the shipping industry undergoes enormous change, we are at the centre of that transition - helping our customers take control, reduce risk, and build competitive advantage.

About the position

We are looking for an experienced Front End Developer to join our team. You will design and build intuitive, high-performance product interfaces and internal tools, working in an AI-native manner across the full front-end development lifecycle, from analysis and planning through implementation, review, and testing.

Our products are used by shipping company engineers and captains to optimise the technical operations and navigation of their vessels based on our in-house developed AI and optimisation algorithms. You will need to gain a good understanding of the domain and our research output to design improvements that make our backend infrastructure scalable and cover our customers’ needs.

Main responsibilities:

• Work in an AI-native manner across all stages of the front-end development lifecycle (including analysis, design, implementation, code review, and testing) to maximise productivity and engineering precision.

• Deliver intuitive and visually appealing user interfaces that enhance usability and overall user experience.

• Develop and maintain React-based frontend applications with clean, scalable, and maintainable code.

• Integrate frontend components with backend services, including in-house AI and optimization algorithms for vessel technical operations and navigation.

• Optimize application performance to ensure fast load times, responsiveness, and smooth interactions.

• Collaborate closely with backend engineers, architects, and DevOps teams to deliver end‑to‑end product features.

• Contribute to frontend standards, code review culture, and the continuous improvement of the team’s engineering practices.

• Work with modern build tools and development workflows to ensure efficient delivery and high-quality releases.

Requirements

Main requirements:

• BSc/MSc degree in Computer Science, Engineering, or related field.

• 5+ years of professional experience as a Web / Front End Developer, preferably with React as the primary stack.

• Strong proficiency in React.js and its core principles (component lifecycle, hooks, context, reconciliation).

• Ability and demonstrated willingness to work in an AI-native manner; leveraging AI coding assistants, agent workflows, and LLM-assisted code review as integral parts of daily engineering practice to improve productivity and quality.

• Solid understanding of JavaScript (ES6+), including asynchronous patterns, closures, and module systems.

• Hands-on experience with Redux (React Redux, Redux Toolkit).

• Excellent knowledge of HTML5 and CSS3; proficiency with SASS/SCSS and CSS Modules.

• Good understanding of CSS Flexbox, Grid, and responsive design principles.

• Experience with component libraries such as Material UI (MUI) or Bootstrap v4+.

• Familiarity with Tailwind CSS for utility-first styling workflows.

• Proficient with Git for version control in collaborative, multi-team environments.

• Experience with TanStack libraries (Query, Table, or Router) for data fetching, server state management, and table rendering.

• Experience with build tools such as Webpack or Vite, and Node.js/npm workflows.

• Strong interpersonal skills, strong interest in emerging technologies/AI tooling/front-end engineering trends.

• Collaborative mindset and willingness to work across product, design, and backend teams.

• Ability to operate effectively in a dynamic environment with evolving requirements.

• Attention to detail and commitment to high-quality, user-centred deliverables.

• Strong organisational skills and ability to manage multiple tasks and priorities.

Nice to have:

• Experience with backend technologies such as Java and/or Python.

• Experience building or prompting AI-powered UI features (LLM integrations, copilot interfaces, agent-driven tooling).

• Experience with real-time data interfaces - WebSocket, STOMP, or similar streaming protocols.

• Familiarity with data visualisation libraries such as Highcharts, Recharts, or D3.

• Experience with mapping libraries (Leaflet, Mapbox) or grid libraries (AG-Grid).

• Knowledge of additional frontend frameworks (Vue.js, Angular, etc.).

• Familiarity with Scrum or other Agile methodologies.

• Understanding of UI/UX best practices beyond implementation.

• Exposure to AI‑driven or optimization‑based systems.

What we offer

You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry, and will also receive:

• Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.

• Health Package: Private health insurance coverage and mental health - therapist benefit

• Paid leaves: emergency and medical leaves.

• Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops

• Remote Flexibility: Great office space in the heart of Athens with hybrid option.

At DeepSea, we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin, gender or sexuality, age or family status, disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed, so we do everything we can to make our environment welcoming and safe for everyone.

Data Privacy

The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful, your data will be retained for 5 (five) years to consider you for future opportunities. After this period, your data will be deleted or destroyed. In case you do not wish for the company to keep your CV and personal data, please send an e-mail to dpo@deepsea.ai.

About Northbeam

Northbeam is building the world’s most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth.

We’re experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you’ll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We’d love for you to be part of our journey.

We’re a remote-friendly company with offices in San Francisco and Los Angeles.

About the Role

As a Senior Product Engineer at Northbeam, you will play a critical role in designing, developing, and delivering high-quality fullstack web solutions that support our business. You will own major product features across the stack from design to launch. You’ll have close feedback loops with users, Product Managers, and our Customer Success team. You will work closely with a cross-functional team of engineers and domain experts to build a scalable product, implement robust software components, and ensure the reliability and performance of our platform. Your technical expertise, communication skills, and problem-solving ability will contribute to the success of our company and shape the future of our technology stack.

Curiosity, willingness to do the hard thing, attention to developer ergonomics, and an enjoyment of a startup pace of development will be the key to success in this role.

Your Impact

• Identify and solve complex, high-impact problems, leading projects with multiple stakeholders and engineers to deliver significant impact to our business
• Help set technical direction impacting our engineering team
• Work with product managers, our customer success team, and customers to scope projects and build solutions
• Build the Northbeam dashboard, where we surface core marketing analytics
• Own and build features end-to-end yourself from idea to production-ready solution, as well as with engineers across the company
• Optimize our web application for best-in-class speed of development and time to render
• Contribute to the development of standardized, technical documentation for internal and external stakeholders

What You Bring

• 5+ years of expertise in building frontend and backend systems with TypeScript
• 3+ years of expertise with modern component-based libraries such as React
• Experience handling creating API services using REST and GraphQL
• Proficiency in SQL and BigQuery
• Be independent, dedicated, and able to deliver production-ready code with high autonomy and minimal guidance
• Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term systems design.
• Passion for continuous learning and professional growth
• Proven interest and ability to mentor other engineers on the team

Bonus Skills & Experience

• Proficiency in Python
• Experience building design systems
• Experience optimizing frontends for large amounts of data and time spent loading
• Experience working with data visualization
• Experience working in marketing, e-commerce, or ad-tech

#LI-Remote

Base Salary Range

$170,000—$200,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process

The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.

TSC is seeking a Flight Controls & GNC Engineer (Remote) to serve as a key contributor for Flight Controls Systems in our Airborne ISR Division.

TSC is seeking a Senior Flight Controls & GNC Engineer (Remote) to serve as the lead focal point for Flight Controls Systems in our Airborne ISR Division.

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

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