Staff Software Engineer - Ingestion | Databricks | Bengaluru, India

 Staff Software Engineer - Ingestion | Databricks | Bengaluru, India

Staff Software Engineer - Ingestion

Bengaluru, India

P-375

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.

Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files.

In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces.

We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company.

The Impact you will have:

Solve real business needs at large scale by applying your software engineering.

Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers

Low level systems debugging, performance measurement & optimization on large production clusters.

Build architecture design, influence product roadmap, and take ownership and responsibility over new projects

Use your deep experience to help prevent and investigate production issues.

Plan and lead complicated technical projects that work with several teams within the company.

A strong influencer or driver in the organization’s roadmap and direction.

Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.

Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).

Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

15+ years industry experience building and supporting large-scale distributed systems.

Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc).

Comfortable working towards a multi-year vision with incremental deliverables.

Motivated by delivering customer value and impact.

Strong foundation in algorithms and data structures and their real-world use cases.

Experience driving company initiatives towards customer satisfaction.

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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---ingestion-8200692002

Staff Software Engineer - Money Team | Databricks | Bellevue, Washington

 Staff Software Engineer - Money Team | Databricks | Bellevue, Washington

Staff Software Engineer - Money Team

Bellevue, Washington

Staff Software Engineer - Money Team

P-940

At Databricks, we are obsessed with Data + AI 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 infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).

As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market.  By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

Design and manage the Money systems and services, commercializing all Databricks products and offerings.

Develop innovative primitives that enable  and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.

Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.

Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.

You will become an expert at using the Databricks Data + AI tools

Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

Represent Databricks at academic and industrial conferences & events.

What we look for:

BS or higher degree in Computer Science or a related field.

Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.

Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.

Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.

A proactive approach and a passion for delivering high-quality solutions

 

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

$182,400—$247,000 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---money-team-7111068002

Staff Software Engineer - Money, Infrastructure | Databricks | Bengaluru, India

 Staff Software Engineer - Money, Infrastructure | Databricks | Bengaluru, India

Staff Software Engineer - Money, Infrastructure

Bengaluru, India

P-1346

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. 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. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India  - and currently in the process of setting up 10 new teams from scratch ! 

The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing,  cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.

As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.

The impact you will have:

Own Money systems and services that govern usage of all Databricks products and offerings.

Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.

Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.

Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.

Represent Databricks at academic and industrial conferences & events.

What we look for:

BS/MS/PhD in Computer Science, or a related field

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

Comfortable working towards a multi-year vision with incremental deliverables.

Proven track record in architecting, developing, deploying, and operating large scale distributed systems.

Experience with software security and systems that handle sensitive data.

Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.

A proactive approach and a passion for delivering high-quality solutions

Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---money-infrastructure-7654349002

Staff Software Engineer - Security Infrastructure | Databricks | Bellevue, Washington

 Staff Software Engineer - Security Infrastructure | Databricks | Bellevue, Washington

Staff Software Engineer - Security Infrastructure

Bellevue, Washington

P-1124

Summary

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 infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services

Attract top talent from across the industry.

Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven

Represent Databricks at academic and industry conferences & events

What we look for:

7+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection and Response. Experience building systems at large scale internet companies is a huge plus.

10+ years of experience building large scale distributed systems with high availability

Leadership skills and experience to lead across functional and organizational lines

Strong communication skills to explain and evangelize Data Security to senior leaders across the company

Bias to action and passion for delivering high-quality solutions

MS or Ph.D. in Computer Science or related fields

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

$181,300—$261,000 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/executive-engineering---pipeline/staff-software-engineer---security-infrastructure-7994759002

Staff Software Engineer - Unity Catalog | Databricks | Mountain View, California

 Staff Software Engineer - Unity Catalog | Databricks | Mountain View, California

Staff Software Engineer - Unity Catalog

Mountain View, California

P-186

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. Databricks develops and operates one of the largest scale software platforms; the fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

As a Staff Software Engineer on the Unity Catalog team, you will play a pivotal role in shaping the only unified, open data governance platform in the industry. Unity Catalog empowers organizations to seamlessly govern both structured and unstructured data—across any format and platform—as well as AI models, files, and dashboards in the cloud. You will partner closely with product management and collaborate with multiple engineering teams across Databricks to define and execute Unity Catalog’s product roadmap, delivering next-generation solutions that our customers rely on to manage and govern their enterprise data at scale.

The Impact You Will Have

Build Industry-Leading Products: Design, develop, and ship capabilities that reinforce Unity Catalog’s position as the market leader in data governance.

Solve Real Customer Challenges: Translate customer needs into innovative features, continually refining solutions to address critical pain points in enterprise data management.

Set the Bar for Engineering Excellence: Establish high standards for code quality, reliability, and performance, ensuring that Unity Catalog remains robust and scalable for the long term.

Drive Clear Decision-Making: Tackle ambiguous problems by bringing clarity and strong technical direction to cross-functional teams.

Lead and Inspire: Provide hands-on technical leadership and mentorship, guiding the team’s success while fostering a collaborative, high-performing engineering culture.

What we look for:

BS in Computer Science, related technical field or equivalent practical experience.

Optional: MS or PhD in databases, distributed systems.

Comfortable working towards a multi-year vision with incremental deliverables.

Driven by delivering customer value and impact.

8+ years of production level experience in either Java, Scala or C++.

Strong foundation in algorithms and data structures and their real-world use cases.

Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop).

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

$192,000—$260,000 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---unity-catalog-7933498002

Staff Software Engineer - User Activation | Databricks | San Francisco, California

 Staff Software Engineer - User Activation | Databricks | San Francisco, California

Staff Software Engineer - User Activation

San Francisco, California

P-925

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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle 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 a Staff Engineer on the User Activation team, you will play a critical role in driving the technical vision, architecture, and execution for horizontal product experiences that accelerate customer adoption and growth. Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have: 

Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.

Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.

Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.

Hands-on full-stack software development to create dynamic, user-centric experiences.

Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.

Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

 

What we look for:

15+ years of software engineering experience, with a strong track record of technical leadership and impact.  

5+ years of engineering management experience, including managing managers.  

Expertise in Front End or Full Stack development.  

Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.  

Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.  

Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.  

Passion for the data intelligence space.

Why Join us?

Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.

Lead and mentor a talented team of engineers solving challenging, customer-centric problems.

Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

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

$192,000—$260,000 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering---pipeline/staff-software-engineer---user-activation-7979523002

Staff Software Engineer, Foundational Model Serving | Databricks | San Francisco, California

 Staff Software Engineer, Foundational Model Serving | Databricks | San Francisco, California

Staff Software Engineer, Foundational Model Serving

San Francisco, California

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. 

Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale.

As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product.

The impact you will have:

Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.

Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.

Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.

Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale.

Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.

Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.

Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.

What we look for:

10+ years of experience building and operating large-scale distributed systems.

Experience leading high-scale operationally sensitive backend systems.

A track record of up-leveling teams engineering excellence.

Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems.

Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.

Strong communication skills and ability to collaborate across teams in fast-moving environments.

Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

Passion for mentoring, growing engineers, and fostering technical excellence.

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

$192,000—$260,000 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, please visit https://www.mybenefitsnow.com/databricks. 

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.

https://www.databricks.com/company/careers/engineering/staff-software-engineer-foundational-model-serving-8224683002