The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure.

For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Develop tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field

• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.

• Experience developing large-scale distributed systems from scratch

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.).

As a senior software engineer on this team, you will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the most safe and trusted community.

Responsibilities:

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 5-9+ years of industry experience
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Proficiency in one or more backend languages (Java/Ruby/Kotlin etc). Familiarity with Scala is a plus.
• Experience with service-oriented architectures and developing large-scale distributed systems.
• Experience with platform architecture patterns and best practices.
• Hands on experience leading project teams and setting technical direction.
• Experience with the Trust and Risk domain.
• Experience with building and leading infrastructure is a plus.

Our Commitment To Inclusion & Belonging:

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

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Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure.

Key responsibilities include:

• Building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

To be successful in this role, you will need:

• 2+ years of professional software development experience, or alternatively a PhD degree.

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

• Self-driven and passionate with a strong focus on delivering impact through team collaboration.

• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

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Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. You might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

Requirements:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go
• Hands-on experience in developing and operating backend systems
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a Staff Software Engineer to technically lead the Tax Engineering team within the Consumer Product Group.

Tax Engineering sits at the intersection of every trade, every payment, and every product Coinbase ships on the hot path.

As the Staff Software Engineer on the team you'll define multi-quarter technical strategies, build systems with stringent correctness and scalability requirements, and set the technical direction for how Coinbase handles one of the most complex domains in financial services.

Ownership & impact

In this role, you will:

• Own the architecture and evolution of real-time and offline systems that calculate, track, and report taxes for crypto transactions at scale , ensuring correctness, low latency, and 24x7 availability.

• Define multi-quarter technical strategies for the Tax Platform, identifying opportunities to simplify complexity, improve reliability, and expand capabilities as Coinbase launches new asset types and products.

• Architect and build distributed systems that power tax calculation engines, cost basis tracking, and tax reporting APIs , serving millions of customers with strict accuracy requirements.

• Lead technical design and code reviews, setting standards for quality, performance, and maintainability across the team.

• Mentor engineers and elevate the technical bar.

• Partner cross-functionally with product, data, compliance, and frontend teams to deliver tax features that meet regulatory requirements and delight customers , from annual tax reports to real-time gain/loss calculations.

• Drive operational excellence by owning system reliability, incident response, and performance optimization for critical tax infrastructure that operates at the scale and speed of crypto markets.

Minimum qualifications

• 8+ years of experience in software engineering, with significant experience architecting and developing solutions to ambiguous, high-impact problems.

• Proven track record designing, building, scaling, and maintaining production-level distributed systems with stringent correctness and availability requirements.

• Strong experience with backend languages (e.g., Go, Python, or similar) and modern infrastructure patterns including microservices, event-driven architectures, and REST/GraphQL API design.

• Deep expertise in data-intensive systems , experience with Kafka, Clickhouse, or similar tools for real-time and batch processing at scale.

• Demonstrated technical leadership: leading large projects with long-term impact, mentoring engineers, and driving alignment across teams on technical strategy.

• Excellent judgment on prioritization and the ability to break down ambiguous problems into actionable technical plans.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves

• Experience with tax systems, cost basis engines, 1099 reporting, or financial compliance infrastructure.

• Familiarity with equities, options, or margin trading or strong interest in learning trading/brokerage domains.

• Background at a tech-focused company (fintech, crypto, high-growth startup) rather than traditional finance.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$217,900-$217,900 CAD

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The impact you'll have is significant, as our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure.

For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

Our current focus is on optimizing the Rust development experience across the organization.

To be successful in this role, you will need:

• 8+ years of professional software development experience.

• A bachelor's degree or higher in Computer Science, a related field, or equivalent experience.

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating large-scale, critical distributed backend systems.

• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.

• Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.

• Self-driven and passionate with a strong focus on delivering impact through team collaboration.

• Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.

• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Plaid Europe is building Plaid in Europe,the open banking platform that makes international expansion one click away for fintechs who want to scale globally. We are the only transatlantic open banking provider, uniquely positioned to help fintechs scale globally with a single Plaid integration.

Our team localises, scales, and operates the bank connectivity layer that powers payments, underwriting, onboarding, and identity,abstracting fragmented European rails and regulations into a single, reliable platform.

The team owns four core pillars:

• Account-to-Account Payments
• Cash Flow & Income Insights for Credit
• Bank Connectivity Across Europe
• Consumer Experience

This team operates at the intersection of distributed systems, financial infrastructure, and consumer UX. We solve hard problems in payments reliability, data quality, regulatory complexity, and cross-market expansion,enabling fintechs to launch in new countries with minimal additional engineering effort.

We are a high-impact, cross-functional engineering team working closely with US platform teams, GTM, compliance, and operations to make Plaid the default open banking layer for global fintechs operating in Europe.

You will serve as the technical leader for Plaid's Europe engineering team, setting direction across a broad product surface area while staying hands-on in the codebase. You'll partner closely with the Engineering Manager and PM to turn product strategy into executable roadmaps, and maintain a strong connection to US platform teams to keep Europe aligned with company-wide engineering investments.

Responsibilities

• Set technical direction across Europe's product surface area, translating product strategy into clear engineering roadmaps with crisp scoping, sequencing, and tradeoffs.
• Stay hands-on,owning high-leverage projects, spiking and prototyping to de-risk, or going deep on the hardest parts of projects others own, depending on the quarter.
• Own technical excellence for the team,setting and holding a high bar through design reviews, architectural decisions, and code quality.
• Partner closely with the EM and PM to identify opportunities, make tradeoffs, and keep the team focused on the highest-leverage work.
• Maintain a strong connection to US engineering and platform teams, ensuring Europe's requirements shape platform decisions and the team leverages shared infrastructure rather than building in isolation.

Qualifications

• 8+ years of software engineering experience, including operating as a technical lead on a product engineering team.
• Strong programming skills in Go, Python, or similar backend languages.
• Experience operating and scaling high-availability systems (four 9s) in production,understands the reliability and correctness bar required for critical infrastructure.
• Demonstrated track record of effective delegation,has scaled their impact by enabling senior engineers to own technical direction, not by doing everything themselves.
• Strong product engineering instinct,can take a product strategy and translate it into a crisp engineering roadmap with clear scoping, sequencing, and tradeoffs.
• Experience operating and scaling high-availability systems in production.
• [Nice to have] Payments domain experience,has worked in payments infrastructure, processing, or a related domain.
• [Nice to have] Experience working across time zones with distributed engineering teams.
• [Nice to have] Fintech or financial infrastructure experience beyond payments (e.g., credit, lending, identity).
• [Nice to have] Familiarity with open banking APIs and bank connectivity patterns.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

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As a member of the Banking Solutions team, you will be responsible for implementing and maintaining innovative products, in a highly collaborative team, that empowers Anchorage’s NeoBank functionality.

The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry

We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently.

You will be coached, mentored and guided to grow your capabilities in 4 major areas:

Technical Skills:

• Participate in task breakdown, estimation, design, implementation and maintenance across the full stack.
• Build backend services and APIs that power Banking Solutions features.
• Create intuitive user experiences that simplify complex financial data into digestible, actionable insights.
• Build data visualizations from the ground up (charts, transaction flows, balance reports).
• Write, review, test, and document code according to Anchorage's engineering and team standards.
• Review code across frontend and backend, ensuring consistency, reducing errors, and sharing context across the engineering team.
• Dive deep into complex, ambiguous problems, formulate elegant and practical solutions.

Complexity and Impact of Work:

• Drive work independently, lead or significantly contribute to medium-to-large projects or processes, usually multi-person interdepartmental or cross-functional projects, including leading from end-to-end with little oversight and coordinating activities of other team members.
• Be capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyzes trade-offs, justifies and recommends priorities.
• Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt.

Organizational Knowledge:

• Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure.
• Collaborate cross-functionally within the team and other teams at Anchorage Digital.
• Monitor the development of the company objectives and/or trends that may affect its capacity to succeed.

Communication and Influence:

• Mentor and guide others on the team within their area of specialization or domain, and help others understand the strategic goals of Anchorage and how their work relates to these.
• Communicate outside team boundaries to solve problems, network with other teams, and establish positive working relationships in other disciplines and domains.

You may be a fit for this role if you:

• Have real world experience building complex distributed systems and web applications from scratch.
• Experience with backend languages (we mostly use Go, but languages can be learned).
• Proficiency with React.JS or similar JavaScript frameworks (Next.JS, Angular.JS, Vue.JS).
• Enjoy building resilient services that can handle different volumes of work without manual intervention.
• Genuinely care about code quality, test infrastructure, and end-user experience.
• Prioritize business value and user experience over 'cool tech'.
• Have developed 'computer science fundamentals' (concurrency, algorithms, data structures - formal CS degree NOT required).
• Believe software engineering is a team activity and enjoy collaborating, learning from and mentoring others.

Although not a requirement, bonus points if you have:

• GraphQL and/or gRPC API design and implementation experience (both consuming and building).
• Production experience with web security.
• A background in the finance industry or fintech.
• Experience working across the full stack on customer-facing financial applications.

Compensation at Anchorage Digital:

• Compensation at Anchorage Digital is market-driven and data-informed. All full-time employees receive a market-leading salary, meaningful equity, and a generous perks and benefits package.
• Compensation Range: $167,000-$230,000 - this salary range may be inclusive of multiple regional locations and job grades. This compensation range will be narrowed during the interview process based on skills, abilities, and experience required.

Benefits:

• Anchorage Digital is proud to provide market-leading benefits and perks to our employees. We are only 1% of companies who offer 100% health, dental, and vision coverage for you and your dependents. This means no monthly out-of-pocket premiums for you or your family.
• We offer a wide range of benefits to our employees globally.

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.

About the Role

This role is for a software engineer working on Codex, with a specific focus on enabling team-scale adoption across a wide spectrum of environments, from internal teams at OpenAI to external customers ranging from startups to large enterprises. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse team requirements into products that scale across organizations. The role bridges what teams with Codex’s capabilities, ensuring that they are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.

In this role, you will:

• Ship fundamental capabilities including analytics dashboards and APIs, compliance and audit surfaces, workspace RBAC and admin controls, managed configuration and constraints, and rate limits, usage, and pricing primitives for teams.

• Design and build robust, full-stack services and APIs that power Codex across surfaces (web/app, CLI/local, IDEs, CI/CD) with strong observability, reliability, and security.

• Enable standardized team deployments by building team configuration packaging and distribution patterns that make it easy to roll out consistent experiences across workspaces.

• Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.

• Partner with GTM to work hands-on with teams through deep engagements to accelerate adoption, iterate rapidly, and translate real-world feedback into scalable product and platform improvements.

You might thrive in this role if you:

• Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.

• Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.

• Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces.

• Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.

• Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools.

• Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams.

• Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives real benefits across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.

Connectors are the bridge between OpenAI products (ChatGPT Enterprise, Frontier, and the API) and the systems where work actually happens—documents, tickets, messages, CRM records, knowledge bases, and more. The Connectors Platform team builds the infrastructure and control plane that makes these integrations reliable, secure, scalable, and enterprise-ready across a wide range of partners and customer environments.

About the Role

We’re looking for an infrastructure-focused engineer to build and operate the systems that make Connectors dependable at global scale. In this role, you’ll design the control plane, reliability foundations, and operational tooling that power connector execution—auth flows, sync and indexing pipelines, rate limiting, isolation, observability, incident response, and safe rollouts. You’ll work closely with product engineering, partner teams, and security to ship enterprise-grade connectivity while meeting high bars for privacy, compliance, and uptime.

In this role, you will:

• Design and operate the infrastructure that powers connector sync, indexing, and retrieval at scale (job orchestration, queues, storage, caching, backpressure).

• Build the “control plane” primitives for connectors: rollout controls, configuration management, permissions, policy enforcement, and kill switches.

• Own reliability and operational excellence: SLOs, monitoring/alerting, incident response, postmortems, on-call health, and capacity planning.

• Create guardrails for safe multi-tenant execution: isolation boundaries, secrets handling, rate limits, abuse prevention, and blast-radius reduction.

• Partner with security and compliance teams to ensure enterprise requirements are met (audibility, least privilege, data retention, and secure-by-default architecture).

• Improve developer velocity via internal tooling: local dev workflows, canary environments, load testing, and observability dashboards.

Your background might look something like:

• 5+ years of professional engineering experience (excluding internships) in infra / SRE / platform roles at tech and product-driven companies.

• Strong distributed systems fundamentals and production instincts (availability, latency, correctness, resilience).

• Experience building and operating services with meaningful uptime and scale requirements (multi-region is a plus).

• Proficient in one or more backend languages (e.g. Python, Rust) and comfortable working close to systems concerns (networking, storage, queueing).

• Deep familiarity with observability (metrics, logs, tracing), incident management, and reliability engineering practices.

• Comfortable navigating ambiguous problem spaces and pushing pragmatic solutions into production.

Interest in AI/ML is a plus, but not required.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $185K – $385K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Core backend engineering is central to delivering reliable, scalable, and performant AI-driven products. Our Backend teams span Search Infrastructure, Platform Engineering, Personalization, Ecosystems, Growth, and more—building services, data systems, and APIs that power ChatGPT’s global footprint.

About the Role

We’re hiring Backend Software Engineers to design and implement the services and infrastructure powering ChatGPT.

What You’ll Do

• Architect, build, and improve scalable backend systems and APIs.

• Drive performance, reliability, and security across distributed services.

• Work closely with product, data science, and frontend teams.

• Implement data storage, retrieval, compute, and integration solutions.

• Participate in long-term architectural planning and technical design reviews.

You Might Thrive Here If You:

• Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++).

• Enjoy building resilient services that handle large scale and complexity.

• Are passionate about system design, reliability, and operational excellence.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco; New York City; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives _real_ _benefits_ across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.

We build and operate the products that bring our cutting-edge research to millions of companies and developers worldwide. We power the OpenAI API and the Enterprise products that empower people around the world to do their jobs better and more efficiently. Our teams span product engineering, backend infrastructure, and safety, working together to ensure that OpenAI’s technology is delivered with reliability, security, and a world-class user experience.

About the Role

We’re looking for backend engineers to design and scale the systems that drive our developer and enterprise-facing products. In this role, you’ll architect and maintain the services and infrastructure that power OpenAI applications—from large-scale distributed systems and databases to APIs and data pipelines. You’ll collaborate closely with product, research, and infrastructure teams to bring new AI capabilities to production while ensuring performance, safety, and compliance at global scale.

In this role, you will:

• Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems

• Collaborate closely with product, design and external customers to understand problems and implement effective solutions

• Work with the research team to improve our next generation of models

Your background might look something like:

• 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

• Former founder, or early engineer at a startup who has built a product from scratch is a plus

• Are proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.

• Enjoy building infrastructure that supports billions of requests and petabytes of data.

• Care deeply about reliability, safety, and performance in production environments.

• Interest in AI/ML (direct experience not required)

• Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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