Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

databricks

Senior Software Engineer - Frontend

Senior Software Engineer - Backend

Senior Software Engineer - Infrastructure and Tools

Software Engineering Intern

P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search.&nbsp; You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases.&nbsp; Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.&nbsp; We’re hiring across multiple teams in our AI Engineering org, including:&nbsp;&nbsp; The impact you will have: Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama) Improve reliability, latency, and efficiency of distributed AI workloads Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences Shape how developers and data scientists build and interact with AI on Databricks What we look for: 8+ years of experience in backend or infrastructure engineering Strong programming skills in Scala, Go, or Python Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service-oriented architecture, deployment pipelines, and system observability Strong product and ownership mindset — you care about building the right solution, not just any solution Bonus points for: Experience with real-time serving, ML infrastructure, or GPU orchestration Exposure to platforms like SageMaker, Vertex AI, or Azure ML Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang Built developer platforms or internal tools supporting AI workflows &nbsp; 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.&nbsp; 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. &nbsp;Local Pay Range$190,000&mdash;$261,250 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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 visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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 Backend Software Engineer

CSQ227R10 Role overview We are looking for a Learning Product Manager to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform.&nbsp; You’ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go‑to‑market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development. Key responsibilities Define and drive the product vision, strategy, and roadmap for AI‑first learning systems on the Databricks platform, anchored on contextual,&nbsp; in the flow of work enablement and a unified skills infrastructure. Design experiences that surface targeted knowledge precisely when users need it, triggered by real work context (e.g., usage patterns, errors, task types), reducing interruptions and friction. Translate learning and pedagogical goals into platform capabilities such as learner models, skills graphs, progress tracking, adaptive learning paths, assessments, and feedback loops. Partner with UX and content design to create intuitive, embedded guidance and learning patterns that feel like part of the workflow, not separate training destinations. Collaborate with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale. Define and evolve predictive signals and analytics that give proactive visibility into emerging skills and capability gaps, enabling action before they impact business outcomes. Build features and tooling that allow enablement teams to deliver at-scale personalization - leveraging AI and automation. Provide employees and leaders with transparent views into skills, enablement activities, and progress toward role and organizational goals through dashboards, reports, and in‑product insights. Work closely with education, documentation, and curriculum teams to empower them with self‑service configuration and experimentation tools for new learning experiences. Engage directly with customers, partners, and internal field teams to deeply understand learning needs across roles and transform these into clear product requirements. What success looks like in the first 12 months A cohesive, AI‑first skills platform and experience is live, guiding users from first login with contextual, just‑in‑time experiences triggered by work context. Clear, trusted metrics exist for learning efficacy and skill attainment and used to drive roadmap decisions.&nbsp; Predictive insights into emerging capability and skills gaps are available to leaders, enabling proactive interventions before they impact business performance. Enablement teams use platform tools you defined to deliver personalized learning and guidance at scale without needing to grow headcount proportionally. Learning and skills capabilities are integrated with broader Databricks platform features and measurably improve adoption and expansion. Qualifications 5–8+ years of experience in product management, UX-focused product roles, or learning/education platforms, ideally within B2B SaaS, developer tools, or data/AI products. Demonstrated experience owning a product area end to end: defining strategy and roadmap, writing PRDs, collaborating with engineering and design, and shipping impactful user-facing features. Experience building or working on learning systems, training platforms, or content/knowledge experiences (LMS, certification, education analytics, in-product guidance, or similar). Strong UX instincts and a track record of collaborating closely with designers and researchers to create intuitive flows, information architectures, and content experiences. Comfort working with data: defining metrics, instrumenting experiments, and using analytics to understand user behavior, learning outcomes, and skills gaps. Excellent written and verbal communication skills, with an ability to explain complex concepts simply and advocate for learners across the organization. Experience with AI-powered learning, adaptive systems, or building products that incorporate LLMs into user workflows &nbsp; 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.&nbsp; 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. &nbsp;Zone 2 Pay Range$154,300&mdash;$212,200 USD&nbsp; 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.&nbsp; 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. &nbsp;Zone 3 Pay Range$145,800&mdash;$200,400 USD&nbsp; 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.&nbsp; 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. &nbsp;Zone 4 Pay Range$137,100&mdash;$188,550 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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 visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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.

Learning Product Manager Lead

RDQ227R1069 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business.&nbsp; More about the team:&nbsp; The Enterprise platform UX team is responsible for driving the user experience across critical enterprise concerns, specifically focusing on governance, security, and platform observability. This includes ensuring that platform admins have intuitive controls for managing access and compliance, maintaining a secure and trustworthy environment for their data and AI operations, and providing clear, actionable insights into platform health and usage. The impact you will have: Help design best in class monitoring and governance experiences at scale. Design unique interactions that will help administrators understand vast amounts of telemetry data. Explore new ways in which Generative AI can enhance the platform experience and developer workflows. Develop a deep understanding of Databricks business objectives, the cloud and big data space, its users, and competition. Conduct user research to identify customer needs and pain points related to data science and platform usage. What we look for: 5+ years of product design work experience. A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines. You’re comfortable talking to strategic customers in key decision-making positions. Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA. Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders. Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process. A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally. You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling. A portfolio showcasing the end-to-end design process. Experience in data visualization, analytics dashboards, or designing interfaces for complex data monitoring is a plus. Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have. Coding React, SQL, CSS, and/or Python is a nice-to-have. &nbsp; 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.&nbsp; 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. &nbsp;Zone 1 Pay Range$153,000&mdash;$210,450 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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 visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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.

Sr. Product Manager, Enterprise Platform

P-1533 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.&nbsp; Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity &amp; observability services that will power &amp; manage millions of VMs across multiple clouds.&nbsp; In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources. You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams. This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale. What we look for: 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language 10+ years of experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc. 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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 visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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.

Sr.Staff Software Engineer- Networking

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing&nbsp;exponentially.&nbsp; To make it happen we’re building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all.&nbsp; The space we work in and the problems we solve are massive, complex, and very deep (our published work on Lakehouse, Delta lake, and Photon are a testament to that). We’re looking for practitioners who are eager to work with the best in industry to push the boundaries of what’s possible for our customers. If you’re truth seeking, data driven, and love to operate from first principles (head fake: our core values), then Databricks is the place for you. &nbsp; As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems: Query compilation &amp; optimization Distributed query execution and scheduling Vectorized engine execution Data security Resource Management Transaction coordination Efficient storage structures (encoding, indexes) Automatic physical data optimization &nbsp; What we look for: PhD in databases or systems A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization Motivated by delivering customer value and impact &nbsp; 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.&nbsp; 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. &nbsp;Local Pay Range$150,000&mdash;$190,000 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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 visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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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