Principal Research Scientist – AI Scaling & Optimization

P-1227

About Databricks AI

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models should be available to all.

About the Scaling Research Team

The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.

Role Summary

As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.

The Impact You Will Have

• Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.
• Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.
• Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.
• Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.
• Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.
• Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.
• Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.
• Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.

What You Will Do

• Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.
• Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.
• Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.
• Collaborate with distributed systems and infra teams to push the limits of distributed training, parallelism strategies, memory management, and hardware utilization for LLMs and other large models.
• Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.
• Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.

What We Look For

• Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. 
• Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.
• Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.
• Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.
• Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.

Nice to Have

• Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.
• Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.
• A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.

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.

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. 

We’re looking to hire a Senior Engineering Manager to join our Photon team and help shape the next generation of lightning-fast, scalable data processing. As a Senior Engineering Manager, you’ll lead world-class engineers building Photon—the cutting-edge query engine powering Databricks’ industry-defining Lakehouse Platform. 

This is your opportunity to drive innovation at massive scale, optimize data systems for real-world impact, and collaborate with top minds in query optimization/execution, storage, and large-scale analytics. If you’re passionate about empowering teams, architecting pioneering technology, and making analytics dramatically faster for millions of users, we want you on our team.

The key responsibilities include:

• Lead and grow a team of top-tier software engineers.
• Drive the development of the Photon query engine and differentiating performance features.
• Partner with product and engineering leadership to define the roadmap and deliver industry-leading performance.
• Foster a culture of technical excellence, innovation, and collaborative problem-solving.
• Mentor and develop future leaders through coaching and growth opportunities.
• Attract, hire, and retain exceptional engineering talent.

What we look for:

• Deep expertise in database kernel or internals development (query execution, optimization, or storage engines).
• 8+ years of experience in database internals or related systems engineering.
• 5+ years of engineering management experience, including building and scaling high-performance teams.
• Proven ability to hire, develop, and retain top engineering talent.
• Strong track record of delivering complex, high-scale distributed systems.
• BS in Computer Science (MS or PhD preferred).

P-995

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.

The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. 

Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth.

As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering.

The Impact You Will Have:

• You will hire great engineers to build an outstanding team
• You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
• You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
• You will work with engineering and product leadership to build a long-term roadmap
• You will coordinate execution and collaborate with multiple product teams with feature requests from the platform
  
  

What We Look For:

• Great at hiring and developing talent, especially leadership
• Great at creating efficient processes that increase velocity and quality
• 2+ years of experience in managing teams that build and operate high-volume distributed systems in a SaaS environment
• 5+ years of experience with distributed systems and building platforms and services which serve multiple product teams and customers
• Have experience in scaling engineering teams from 5 to 20+
• Team player that will work with other departments (PM, CS) and engineering teams.
• BS or higher in Computer Science, or a related field

P-995

About the Team

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. 

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 a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries. 

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering
• Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
• Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
• Manage technical debt, including long term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions 
• Building, managing, and operating a highly scalable services in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities

What we look for:

• 11+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.

P-995

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. And we're only getting started.

As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• 10+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
• Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up 
• Extensive experience managing a team of strong software engineers 
• Partner with PM, Sales, and Customers to develop innovative features & products.
• BS (or higher) in Computer Science, or a related field.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

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.
• 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.

(P-1174)

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. 

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 & observability services that will power & manage millions of VMs across multiple clouds. 

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.

(P-1174)

We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.

Key Characteristics

As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. 

Job Description

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

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.
• 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.

Principal Research Scientist – Scaling

P-1227

About Databricks AI

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and systems using their own data; from pre-training LLMs from scratch to state-of-the-art retrieval-augmented generation by producing novel science and putting it into production.

We believe a company’s AI models are a core part of their IP, and that high‑quality AI models should be available to all.

About the Scaling Research Team

The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners.

Role Summary

As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production.

The Impact You Will Have

• Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance.
• Define the scaling research roadmap in alignment with Databricks’ strategic objectives, prioritizing advances in foundation model efficiency and large‑scale training and inference.
• Drive algorithmic innovations for large‑scale neural network training and inference, including novel optimizers, low‑precision techniques, and model adaptation methods, and guide your team in rigorous empirical validation against state‑of‑the‑art approaches.
• Optimize end‑to‑end ML systems for distributed training and RL, memory efficiency, and compute efficiency through close collaboration with core systems and platform teams, ensuring that research ideas translate into performant, reliable infrastructure.
• Partner with product and engineering to translate research breakthroughs, especially around scaling and efficiency, into customer‑impacting capabilities in the Databricks AI platform.
• Foster a culture of scientific excellence and openness, including high‑quality research practices, reproducible experimentation, and effective internal knowledge sharing across Databricks AI.
• Represent Databricks AI research externally through top‑tier publications, conference talks, and collaborations with academia and the open‑source community, with a focus on optimization and efficiency for large‑scale models.
• Mentor and develop talent, providing both technical guidance (research agendas, experimentation, implementation) and career development support for research scientists and engineers.

What You Will Do

• Define and lead independent research programs on foundation model efficiency, covering topics such as optimizer design, low‑precision training/inference, scalable model architectures, and efficient adaptation methods.
• Oversee the design and execution of large‑scale experiments, including benchmarking against state‑of‑the‑art methods and evaluating trade‑offs in quality, latency, throughput, and cost.
• Work hands‑on with your team on high‑quality, efficient code in Python and PyTorch for research implementation, rapid prototyping, and integration with Databricks’ production systems.
• Collaborate with distributed systems and infra teams to push the limits of distributed training, parallelism strategies, memory management, and hardware utilization for LLMs and other large models.
• Establish metrics, evaluation protocols, and best practices for scaling‑focused research (e.g., training efficiency, inference cost, energy usage) and drive their adoption across Databricks AI.
• Champion responsible and robust deployment of scaling innovations, ensuring that model behavior, reliability, and safety remain first‑class considerations.

What We Look For

• Proven ability to lead a research team to develop novel techniques for foundation model efficiency and related topics, with a strong track record of industry impact. 
• Deep expertise in at least one of: generative AI, LLMs, distributed ML systems, model optimization, or responsible AI, with a strong emphasis on scaling and efficiency for large‑scale neural networks.
• Hands on leadership - strong programming skills and demonstrated ability to write high‑quality, efficient code in Python and PyTorch for research implementation and experimentation.
• Demonstrated ability to translate research innovation into scalable product capabilities in partnership with product and engineering teams.
• Excellent communication, leadership, and stakeholder management skills, with experience influencing cross‑functional roadmaps and aligning research with business impact.

Nice to Have

• Prior work at the intersection of systems and ML, such as distributed training frameworks, compiler and kernel optimization for deep learning workloads, or memory‑/compute‑efficient model design.
• Strong industry and academic network in large‑scale ML, with ongoing collaborations or service (e.g., PC/area chair) at top conferences in ML and systems.
• A strong record of research impact—such as first‑author publications at top ML/systems conferences (e.g., ICLR, ICML, NeurIPS, MLSys), influential open‑source contributions, or widely used deployed systems—especially in optimization or efficiency.

P-932

At Databricks, we are passionate about helping data teams 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.

The Opportunity

Databricks is the leader in Data and AI, and our platform operates on a global scale. We are seeking a Senior Engineering Manager to lead the engineering team responsible for the Intelligence and Economics of our infrastructure.

In this role, you will build the Intelligent Governance and Efficiency layer that optimizes billions of dollars spent across all Databricks products in a complex multi-cloud environment. You will lead a high-caliber team of engineers to build the "financial nervous system" of Databricks, ensuring our most advanced technologies, including Generative AI and Serverless—scale with world-class unit economics.

The Mission: From Visibility to Autonomy

We are evolving our infrastructure from cost reporting to Autonomous Governance. You will own the roadmap to build platform-native systems that automatically manage, enforce, and optimize resources globally.

• Infrastructure Intelligence: Build high-scale data pipelines and attribution models that provide a "Source of Truth" for demand and capacity planning.
• Economic Orchestration: Engineer the automated enforcement layer—including budget quotas, anomaly detection, and self-healing remediation—to manage exploding GenAI and serverless costs.
• Margin Intelligence: Drive product-level margin attribution (Shared COGS, AI provider costs) to enable leadership to make data-driven roadmap and pricing decisions.

Job Requirements (What We Are Looking For)

• Bachelor’s Degree: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field.
• Engineering Management Experience: 7+ years of experience in engineering management, specifically leading high-performance teams in an Infrastructure, Production Engineering, or Cloud Systems environment.
• Technical Breadth: 7+ years of experience with distributed systems architecture, including professional experience with Kubernetes and Cloud-native architectures (AWS, Azure, or GCP).
• System Design & Scale: Proven experience designing, building, and operating large-scale distributed systems that support high-availability SaaS platforms or services with millions of users.
• Software Development: Proficiency in professional software development using high-level languages such as Java, Scala, or C++.
• Platform Building: Demonstrated track record of architectural leadership in transitioning fragmented technical environments into unified, automated, and opinionated platforms.

Preferred Qualifications

• Master’s degree or PhD in Computer Science or a related field.
• Experience in "Infrastructure-as-Code" (Terraform, CloudFormation) and large-scale data orchestration.
• Background in Cloud Economics, Capacity Planning, or Fleet Efficiency at a global scale.

The Impact You Will Have

• Hire and Mentor: Scale a world-class engineering team in Mountain View, providing technical guidance and career development.
• Strategic Leadership: Collaborate cross-functionally with Product, Finance, and Data Science to define the economic future of the Databricks platform.
• Operational Excellence: Ensure the reliability and efficiency of our cost-management systems as they integrate into our core infrastructure.

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. 

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 & observability services that will power & manage millions of VMs across multiple clouds. 

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.

P-1494

Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% 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. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. 

For more information, visit www.databricks.com.

About the Role

We are looking for an experienced and forward-thinking Senior Manager of Identity & Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale.

As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default.

What You’ll Do

Strategic Leadership

• Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem.
• Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs.
• Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance.
  
  

Build and Lead High-Performing Teams

• Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling.
• Mentor technical leads and engineers; foster a high-performance and high-accountability culture.
• Develop effective team structures and prioritize workstreams aligned to business and security priorities.

IAM Architecture & Engineering

• Lead the design and implementation of IAM capabilities including:
• Single Sign-On (SSO), MFA, and federated identity
• Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)
• Privileged Access Management (PAM)
• Identity lifecycle automation
• Directory services and identity stores
• Just-in-time access and least-privilege models
• Drive modernization of legacy systems and implementation of Zero Trust identity principles.
• Ensure scalability, high availability, and strong security controls across all identity platforms.

Governance, Compliance & Risk

• Own identity governance programs including access reviews, audit readiness, onboarding/offboarding controls, and policy enforcement.
• Partner with compliance, risk, and legal teams to meet regulatory requirements (SOC2, ISO, FedRAMP, SOX, GDPR, etc.).
• Ensure operational rigor, strong documentation, and sustainable controls that withstand audits and customer expectations.

Cross-Functional Partnership

• Work closely with IT, Product Security, Cloud Infrastructure, and Engineering to embed identity best practices throughout the organization.
• Collaborate with product teams to ensure customer-facing identity capabilities are secure, intuitive, and scalable.
• Build strong relationships with internal stakeholders and serve as a trusted advisor on identity issues.

What You Bring

• 8–12+ years of experience in security, identity engineering, or related technical fields
• Deep technical expertise in modern IAM technologies, directories, authentication protocols (SAML, OIDC, OAuth), and identity standards.
• Hands-on architecture or engineering experience within cloud environments (AWS/GCP/Azure).
• Experience implementing Zero Trust identity models and privileged access management frameworks.
• Strong understanding of identity governance, compliance requirements, and audit processes.
  Proven track record of leading high-performing teams and delivering complex, cross-functional programs.
• Excellent communication, influencing, and stakeholder management skills.

Why Join Us

• Lead and shape the future of the company’s identity strategy during a period of rapid growth.
• Work on highly impactful, company-defining initiatives that protect our people, platform, and customers.
• Solve complex IAM challenges across cloud, SaaS, and hybrid environments.

P-1494

Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% 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. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. 

For more information, visit www.databricks.com.

About the Team

We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks’ products and infrastructure. This role is not simply about running programs—it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

What You’ll Own

Security & Privacy Governance Architecture

• Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.
• Build scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

Incident Learning & Prevention

• Establish and lead a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.
• Ensure insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

Security Champions & Distributed Expertise

• Rebuild and scale a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.
• Create centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

Data Governance for Products & AI

• Lead efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.
• Define and enforce policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

Developer-Centric Security Enablement

• Transform security into a key enabler for engineering velocity.
• Deliver automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.
• Build JIT (Just-In-Time) security education and systems that proactively surface risky behavior before it becomes an incident.

Security Maturity & Customer Trust

• Identify and elevate Databricks’ security posture to exceed DB50 customer expectations, including areas such as:
  
  
• audit logging
• controlled access workflows
• secure asset import/export
• behavior monitoring and lineage
• Partner with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

What we need:

We’re looking for a leader who blends deep technical expertise, strategic vision, and organizational leadership:

• A strong engineering foundation with experience in security, privacy, platform governance, or infrastructure architecture.
• Ability to define technical strategy while remaining close enough to the details to lead senior security SMEs.
• Experience building governance programs or security platforms at scale across large engineering organizations.
• Strong partnership skills across product, infrastructure, security, IT, and compliance functions.
• A track record of creating tools, automation, or systems that meaningfully improve developer experience while increasing safety.
• Credibility working with senior ICs, architects, and leadership across multiple domains.

Team & Organizational Structure

• Direct leadership of a team of 4–5 senior Security SMEs (TLM-style org).
• Dotted-line influence over embedded security champions across multiple engineering organizations.
• Significant cross-functional reach with product, platform, and security leadership.

Why This Role Matters

This role shapes how Databricks balances innovation, AI, security, and scale. You will:

• Build durable foundations that make our products secure-by-default.
  Influence engineering practices across thousands of developers.
  Lead governance strategy at a company experiencing explosive growth.
• Strengthen Databricks' trust with our largest, most security-conscious customers.
• Help define what responsible AI and secure cloud development look like at global scale.

Qualifications:

Required Qualifications

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.
• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.
• Experience defining governance, security, or enterprise-grade platform capabilities.
• A background as a senior IC (e.g., Staff/Principal Engineer) at some point—this role requires deep technical credibility.
• Proven success hiring, developing, and retaining senior engineering talent.

Expertise driving cross-functional technical programs with senior stakeholders.

Preferred Qualifications

• Experience building cloud-agnostic or multi-cloud services.
• Background in enterprise features such as access control, policy engines, compliance, or identity systems.
• Experience leading organizations through scaling phases in high-growth environments.

P-1494

Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% 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. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. 

For more information, visit www.databricks.com.

About the Team

We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks’ products and infrastructure. This role is not simply about running programs—it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem.

This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust.

What You’ll Own

Security & Privacy Governance Architecture

• Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components.
• Build scalable governance frameworks that help engineering teams design secure systems from the start, not after the fact.

Incident Learning & Prevention

• Establish and lead a Security & Privacy Postmortem Review process that drives learning, accountability, and long-term resilience.
• Ensure insights from incidents translate into systemic improvements across tools, infrastructure, and engineering culture.

Security Champions & Distributed Expertise

• Rebuild and scale a Security Champions Network that brings security and governance expertise directly into product and infrastructure teams.
• Create centralized enablement, tooling, and shared learning systems that allow thousands of engineers to integrate security seamlessly.

Data Governance for Products & AI

• Lead efforts to ensure responsible data use across AI/ML systems, SaaS environments, and internal workspaces.
• Define and enforce policies that uphold privacy, integrity, auditability, and proper data lifecycle management.

Developer-Centric Security Enablement

• Transform security into a key enabler for engineering velocity.
• Deliver automation, self-service tools, and intelligent guardrails that reduce developer friction while increasing safety and compliance.
• Build JIT (Just-In-Time) security education and systems that proactively surface risky behavior before it becomes an incident.

Security Maturity & Customer Trust

• Identify and elevate Databricks’ security posture to exceed DB50 customer expectations, including areas such as:
  
  
• audit logging
• controlled access workflows
• secure asset import/export
• behavior monitoring and lineage
• Partner with security, IT, and compliance teams to ensure readiness for the most demanding enterprise and regulated environments.

What we need:

We’re looking for a leader who blends deep technical expertise, strategic vision, and organizational leadership:

• A strong engineering foundation with experience in security, privacy, platform governance, or infrastructure architecture.
• Ability to define technical strategy while remaining close enough to the details to lead senior security SMEs.
• Experience building governance programs or security platforms at scale across large engineering organizations.
• Strong partnership skills across product, infrastructure, security, IT, and compliance functions.
• A track record of creating tools, automation, or systems that meaningfully improve developer experience while increasing safety.
• Credibility working with senior ICs, architects, and leadership across multiple domains.

Team & Organizational Structure

• Direct leadership of a team of 4–5 senior Security SMEs (TLM-style org).
• Dotted-line influence over embedded security champions across multiple engineering organizations.
• Significant cross-functional reach with product, platform, and security leadership.

Why This Role Matters

This role shapes how Databricks balances innovation, AI, security, and scale. You will:

• Build durable foundations that make our products secure-by-default.
  Influence engineering practices across thousands of developers.
  Lead governance strategy at a company experiencing explosive growth.
• Strengthen Databricks' trust with our largest, most security-conscious customers.
• Help define what responsible AI and secure cloud development look like at global scale.

Qualifications:

Required Qualifications

• 10+ years of experience in large-scale software engineering, with at least several years leading engineering managers and senior ICs.
• Strong technical grounding in backend systems, distributed systems, identity/security, or enterprise cloud platforms.
• Experience defining governance, security, or enterprise-grade platform capabilities.
• A background as a senior IC (e.g., Staff/Principal Engineer) at some point—this role requires deep technical credibility.
• Proven success hiring, developing, and retaining senior engineering talent.

Expertise driving cross-functional technical programs with senior stakeholders.

Preferred Qualifications

• Experience building cloud-agnostic or multi-cloud services.
• Background in enterprise features such as access control, policy engines, compliance, or identity systems.
• Experience leading organizations through scaling phases in high-growth environments.

(P-1490)

Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth.

In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms.

You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople.

The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible.

The impact you’ll have:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen
• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work
• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting
• Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic
• Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions

What you’ll need:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare
• Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide
• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time
• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen
• Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong
• Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally
• BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred

(P-1491)

About the Team

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.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical infrastructure initiatives that build and operate distributed systems, driving company-wide efficiency, reliability, and automation. You’ll shape how the next generation of systems is built—integrating AI-driven tooling directly into the infrastructure itself to make it more adaptive, scalable, and intelligent.

The impact you will have:

• • Solve real business needs at a large scale by applying your software engineering
  • Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
  • Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
  • Manage technical debt, including long term technical architecture decisions and balance product roadmap
  • Leading and participating in technical, product, and design discussions 
  • Building, managing, and operating a highly scalable services in the cloud
  • Growing leaders on the team by providing coaching, mentorship, and growth opportunities
  • Partnering with other engineering and product leaders on planning, prioritization and staffing
  • Creating a culture of excellence on the team while leading with empathy

What we look for:

• • 20+ years of industry experience building and operating large-scale distributed systems.
  • Proven ability to build, grow, and manage high-performing infrastructure teams, including developing managers and tech leads
  • Deep experience running large-scale cloud infrastructure systems (AWS, Azure, or GCP), ideally across multiple clouds or regions
  • Ability to translate requirements from internal engineering teams into clear priorities and execution plans
  • Fluent across the infrastructure stack — storage, orchestration, observability, and developer platforms — with intuition for how these layers interact..
  • Ability to evaluate and evolve abstractions — knows when to unify, when to localize, and how to reduce cognitive load for product teams.
  • BS in Computer Science (Masters or PhD Preferred)

P-1257

At Databricks, we are passionate about helping data teams 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 a Senior Engineering Manager at Databricks, you will lead teams to build available, scalable and reliable software that is necessary to the business. You will be responsible for delivery of products and features shipped by your teams. You will work with engineers and customers to help ensure that we continue to build excellent products with new and improved features.

The impact you will have:

• Hire great engineers to build an outstanding team
• Support engineers in their career development by providing clear feedback and developing engineering leaders
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
• Work with engineering and product leadership to build a long-term roadmap
• Coordinate execution and collaborate across teams to unblock cross-cutting projects

What we look for:

• Great at hiring and developing talent, especially leadership
• Great at creating efficient processes that increase velocity and quality
• Managed teams that build and operate high-volume distributed systems in a SaaS environment
• 5+ years of experience with distributed systems and building services on top of containers
• Have experience scaling engineering teams from 5 to 30+
• Team player that will work with other departments (PM, Sales, CS)
• BS or higher in Computer Science, or a related field

P-1413

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. 

We are the UI Platform team, responsible for enabling all frontend developers at Databricks to build amazing features. We support hundreds of developers working in the frontend every week, making sure that they can use AI tooling to build features, can quickly ship them to production, and have best-in class monitoring and observability of what they build.. We own all aspects of the dev loop, relying on industry-standard technology like Typescript, React, GraphQL, yarn, node and more!  

We're seeking a dedicated Engineering Leader for our Developer Experience team. This team is responsible for the entire life cycle of a feature: dev loop, submitting, pushing, monitoring… everything needed to ensure smooth delivery of code from the developer’s head to production!

You will report directly to the Senior Manager of Engineering.

The main responsibilities include:

• You will lead a talented engineering team in UI Platform focused on making our frontend developer experience amazing.
• You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
• You will build processes to implement product vision and strategy, according to organizational goals and priorities.
• You will build software that is not just high quality, but easy to operate.
• You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.

What we look for:

• 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications
• 2+ years leading and managing a high-performing engineering team.
• A passion for infrastructure, tooling, developer productivity, or performance optimization and the ability to drive technical initiatives that improve overall team efficiency and code quality
• Demonstrated ability to mentor, coach, and develop engineering talent at various levels
• Ability to drive technical initiatives that improve overall team efficiency and code quality
• Experience in setting and achieving ambitious team goals aligned with company objectives
• Strong track record of attracting, hiring, and retaining top engineering talent
• Experience managing distributed teams across multiple locations.
• Adaptability and resilience in a fast-paced, rapidly evolving tech environment

(P-1384)

About the Team

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.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical infrastructure initiatives that build and operate distributed systems, driving company-wide efficiency, reliability, and automation. You’ll shape how the next generation of systems is built—integrating AI-driven tooling directly into the infrastructure itself to make it more adaptive, scalable, and intelligent.

The impact you will have:

• • Solve real business needs at a large scale by applying your software engineering
  • Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
  • Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
  • Manage technical debt, including long term technical architecture decisions and balance product roadmap
  • Leading and participating in technical, product, and design discussions 
  • Building, managing, and operating a highly scalable services in the cloud
  • Growing leaders on the team by providing coaching, mentorship, and growth opportunities
  • Partnering with other engineering and product leaders on planning, prioritization and staffing
  • Creating a culture of excellence on the team while leading with empathy

What we look for:

• • 20+ years of industry experience building and operating large-scale distributed systems.
  • Proven ability to build, grow, and manage high-performing infrastructure teams, including developing managers and tech leads
  • Deep experience running large-scale cloud infrastructure systems (AWS, Azure, or GCP), ideally across multiple clouds or regions
  • Ability to translate requirements from internal engineering teams into clear priorities and execution plans
  • Fluent across the infrastructure stack — storage, orchestration, observability, and developer platforms — with intuition for how these layers interact..
  • Ability to evaluate and evolve abstractions — knows when to unify, when to localize, and how to reduce cognitive load for product teams.
  • BS in Computer Science (Masters or PhD Preferred)

(P-1384)

About the Team

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. 

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 a senior leader to run our Connect organization in India. This is a great opportunity to lead a key strategic initiative for Databricks. The ideal candidate would have experience leading teams that build Data infrastructure as well as interest/experience in running product centric organizations. We would also look for the ability to collaborate effectively across time zones as well organizational boundaries. 

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering
• Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
• Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
• Manage technical debt, including long term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions 
• Building, managing, and operating a highly scalable services in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities
• Partnering with other engineering and product leaders on planning, prioritization and staffing
• Creating a culture of excellence on the team while leading with empathy

What we look for:

• 15+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
• BS in Computer Science or Masters or PhD 

(P-1384)

Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth.

In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms.

You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople.

The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible.

The impact you’ll have:

• Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen
• Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work
• Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting
• Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic
• Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions

What you’ll need:

• 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare
• Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide
• Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time
• Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen
• Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong
• Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally
• BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred

(P-1384)

About the Team

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.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.

The impact you will have:

• Solve real business needs at a large scale by applying your software engineering
• Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
• Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
• Manage technical debt, including long term technical architecture decisions and balance product roadmap
• Leading and participating in technical, product, and design discussions 
• Building, managing, and operating a highly scalable services in the cloud
• Growing leaders on the team by providing coaching, mentorship, and growth opportunities
• Partnering with other engineering and product leaders on planning, prioritization and staffing
• Creating a culture of excellence on the team while leading with empathy

What we look for:

• 15+ years of industry experience building and supporting large-scale distributed systems
• Building, growing, and managing high-performance teams
• Ability to attract and hire engineers who meet the Databricks hiring principles
• Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner).
• Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas.
• BS in Computer Science or Masters or PhD 

P-1126

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:

• 9+ 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 & Response. Experience building systems at large scale internet companies is a huge plus.
• 15+ 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

P-1126

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 & 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

P-1127

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• 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.
• 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.
• 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

Job Title: Senior Staff Software Engineer - Enzyme 

Location: Mountain View, California

---------------------------------

P-1183

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.

The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. 

We're seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL  workloads and for query acceleration.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Incrementally maintaining materialized views
• Query optimization
• Resource management
• Efficient storage structures 
• Automatic physical data optimization

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 architecture for materialized views
• 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.
• Introduce tools to allow greater automation and operability of services.
• 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.

What We’re Looking For:

• 15+ years industry experience building and supporting large-scale distributed systems.
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Experience 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1127

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• 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.
• 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.
• 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1127

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• 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.
• 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.
• 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1127

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• 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.
• 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.
• 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1126

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:

• 9+ 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 & Response. Experience building systems at large scale internet companies is a huge plus.
• 15+ 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

P-1137

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.

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 1500 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.

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:

• 5+ 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 & Response. Experience building systems at large scale internet companies is a huge plus.
• 5+ 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

Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter.

The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do.

We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure:

• Declarative Dataflow Processing
• Resource management
• Efficient storage structures
• Stream Processing and Complex Event Processing 
• Autonomic Computing and Self-Managing Systems

The Impact you will have:

• Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers.
• Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale.
• Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems.
• Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency.
• Shape product direction alongside engineering and product leadership, owning technical strategy from design through delivery.
• Drive complex, multi-team technical initiatives that require sustained coordination and clear technical judgment.

What We’re Looking For:

• 10+ years of experience building, operating, and evolving large-scale distributed systems in production.
• Deep expertise in one or more of: database internals, storage systems, distributed computing, streaming systems, language/API design, or performance engineering.
• Track record of executing against a multi-year technical vision through well-sequenced incremental milestones.
• Strong algorithmic foundations with the practical judgment to know when they matter and when simpler solutions win.
• A bias toward customer impact over technical novelty for its own sake.
• Experience building alignment across teams and driving initiatives from conception through customer adoption.
• BS, MS, or PhD in Computer Science or a related field (or equivalent depth of experience).

P-1126

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 & 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

P-1127

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 own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate 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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• 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.
• 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.
• 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.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1110

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. 

We are the “Spark™ Structured Streaming” team responsible for building Stream Processing capabilities into Spark™ and Databricks Intelligence Platform. Stream processing is in its infancy and we are here to build not just state of the art Stream Processing technology but best in class managed offering for customers to run their Stream Processing workloads. 

We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development initiatives, encompassing both open source and Databricks-specific components. Your primary mission will be to make Spark™ Structured Streaming state of the art Stream Processing engine, by adding advanced features such as sophisticated state management, new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture. 

The key responsibilities include:

• Leading a talented engineering team in Spark™ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform
• Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team
• Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities
• Build software that is not just high quality but easy to operate.
• Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio
• Manage technical debt, including long term technical architecture decisions and balance product roadmap

What we look for:

• 5+ years experience working in a related system, streaming, query processing, query optimization, including big-data ecosystem, Apache Spark™ or database internal
• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers. Experience managing distributed teams preferred
• Comfortable working cross functionally with product management and directly with customers; ability to deeply understand product and customer personas

P-1110

_{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.} 

_{We are the Lakeflow Engineering team,  responsible for Databricks ETL product line: Jobs, Spark Declarative Pipelines, and Genie Code for Data Engineering. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.} 

_{We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance.}

_{The main responsibilities include:}

• _{You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform.}

• _{You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team.}

• _{You will build processes to implement product vision and strategy, according to organizational goals and priorities.}

• _{You will build software that is not just high quality but easy to operate.} 

• _{You will manage technical debt, including long-term technical architecture decisions and balance product roadmap.}

_{What we look for:}

• _{Minimum 3 years of experience in managing top-tier engineering teams}

• _{5+ years experience building data infrastructure systems such as Apache Spark™ or database internals.}

• _{A passion for database systems, storage systems, distributed systems,  or performance optimization}

• _{Experience working with product management, and directly with customers; ability to understand customer needs.}

• _{Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.}

• _{Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.}

P-931

At Databricks, we are passionate about helping data teams 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.

At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency.

We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale.

The impact you will have:

• Own and evolve the compute platform to support all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance.
• Hire exceptional engineers and invest in their growth through coaching, feedback, and career development.
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset.
• Partner with engineering and product leadership to define long-term strategy and roadmaps.
• Lead cross-team initiatives that span product and infrastructure surface areas.
• Influence architectural decisions beyond your immediate team.

What we look for:

• 10+ years of experience building and operating large-scale distributed systems, including strong practices around testing, monitoring, and reliability.
• 3+ years of engineering management experience leading high-performing teams.
• Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred.
• Proven ability to collaborate across engineering, product, and business stakeholders.
• Experience scaling teams and systems through rapid growth.
• BS, MS, or PhD in Computer Science or related field, or equivalent experience.

P-138

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. And we're only getting started.

As an Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs.
• Partner with PM, Sales, and Customers to develop innovative features.
• BS (or higher) in Computer Science, or a related field.
• 5 years of Engineering experience and 2 years of Engineering Management experience.

# P-725

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.

About the Team: Join the Core of Databricks Infrastructure

The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world.

Mission: Define the Future of Cloud Compute Efficiency and Scale

As the Technical Lead for Compute Fleet Management, you won't just manage a fleet—you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes:

• Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation.
• Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on.
• Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform.

Outcomes: The Impact You Will Deliver

This role is for an engineer who thrives on owning the most challenging and impactful outcomes:

• High Availability: Achieve and maintain 99.99% availability for all batch and serving workloads.
• Stellar Efficiency: Drive utilization to 60% or higher—a crucial metric that requires balancing high efficiency with unwavering tolerance for cloud failures.
• Best-in-Class Isolation: Architect and enforce strong security and performance isolation across a diverse range of customer workloads.

Requirements: Are You Ready for this Challenge?

We are seeking a seasoned Principal Engineer who has not only built but successfully operated large-scale, mission-critical infrastructure systems in production. You must have a track record of:

• Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution.
• Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud.
• Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries.
• Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies.

The Edge: Highly Desirable Experience

• Experience managing and scaling a massive fleet of GPUs for AI/ML workloads.
• Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP).