Staff Backend Engineer

Staff Software Engineer - AI Research Infrastructure

Databricks

STAFF SOFTWARE ENGINEER - AI RESEARCH INFRASTRUCTURE P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security. You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support. The Impact you will have As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will:  * Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems) * Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring. * Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time. * Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers. * Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems. What We Look for * BS/MS or PhD in Computer Science or related field * 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure. * Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers. * Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services. * Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems). * Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist. * Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services. * Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $199,000—$270,000 USD 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. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.

Staff Software Engineer - AI Research Infrastructure

Databricks

STAFF SOFTWARE ENGINEER - AI RESEARCH INFRASTRUCTURE P-1215 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security. You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support. The Impact you will have As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will:  * Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems) * Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring. * Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time. * Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers. * Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems. What We Look for * BS/MS or PhD in Computer Science or related field * 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure. * Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers. * Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services. * Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems). * Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist. * Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services. * Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,000—$270,000 USD 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. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. 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.

Staff Frontend Software Engineer - Payments and Checkout

Breeze

Are you passionate about solving complex challenges in the fintech space? We’re looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. If you're passionate about creating innovative solutions in a dynamic, fast-paced environment, we want to talk to you. STAFF FRONTEND ENGINEER (PAYMENTS & CHECKOUT) Are you passionate about solving complex challenges in the fintech space? We’re looking for a Staff Frontend Engineer (Payments & Checkout) to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies - fiat and crypto - so businesses and consumers can transact seamlessly. In this role, you’ll own and evolve our checkout and payment experience - the most critical surface of our product. You’ll work closely with product, design, growth, and backend teams to build fast, seamless, and high-converting payment flows. From reducing friction to improving authorization rates, your work will directly impact revenue and user experience. If you thrive on optimizing user journeys and love building performant, elegant frontend systems, we’d love to chat. WHAT YOU’LL DO: * Checkout ownership - Own the end-to-end frontend architecture for our checkout and payment flows across web platforms * Conversion optimization - Improve checkout conversion rates through UX improvements, performance tuning, and data-driven experimentation * Experimentation - Partner with product and growth to run A/B tests, analyze funnel performance, and ship iterative improvements quickly * Payment UX - Build seamless flows for complex payment states including retries, failures, and authentication (3DS, etc.) * Performance - Optimize frontend performance (Core Web Vitals, latency, rendering) to ensure fast and reliable checkout experiences * Integration - Collaborate with backend and payments teams to integrate APIs, PSPs, and orchestration layers * Resilience - Build robust UI systems that gracefully handle edge cases and ensure high reliability during transactions * Frontend standards - Define and drive best practices for frontend architecture, scalability, and maintainability * Mentorship - Act as a technical leader and mentor, raising the bar across the frontend team * Culture carrier - Bring strong product thinking and a conversion-focused mindset into engineering decisions WHAT WE’RE LOOKING FOR: * 7+ years of frontend engineering experience, ideally in fast-paced or startup environments * Deep hands-on experience building and optimizing checkout or payment flows (must-have) * Strong proficiency in modern frontend frameworks (React, Next.js, etc.) * Experience improving conversion rates through experimentation, analytics, and UX iteration * Strong understanding of frontend performance optimization and rendering strategies * Familiarity with payments infrastructure (Stripe, Adyen, Braintree, tokenization, 3DS, etc.) * Strong product intuition and ability to translate data into user experience improvements * Excellent collaboration and communication skills across product, design, and growth teams * Experience with global payments, multi-currency flows, or crypto is a bonus OUR CULTURE: * Fast-paced and dynamic – We’re a growing startup that moves quickly * Tech-driven – We leverage technology to address our users’ biggest challenges * Ownership and communication – We value people who take full ownership and communicate well across teams * Continuous learning – You’ll work alongside industry experts and deepen your expertise in payments and high-performance frontend systems WHY JOIN US: * Competitive salary + equity plan * 21 days PTO * Benefits: annual medical allowance, productivity budget, gym membership & wellness subsidy * Annual team retreat trip * Be part of a team backed by Sequoia Capital with a healthy runway REQUIREMENTS: * 7+ years of experience in frontend engineering, with a focus on high-impact user-facing systems * Proficient in modern frontend frameworks and performance optimization techniques * Experience with experimentation, analytics, and conversion-focused development * Strong understanding of building reliable, scalable UI systems * Bachelor's degree or equivalent practical experience * We are unable to sponsor visas at this time.  * Preferred: Ability to work hybrid in NYC; open to remote candidates for the right individual Apply now and help us build the future of payments at a global scale! Apply now and help us build the future of payments at a global scale!