P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.

We’re hiring across multiple teams in our AI Engineering org including:

The impact you will have:

Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.

Improve reliability, latency, and efficiency of distributed AI workloads

Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences

Shape how developers and data scientists build and interact with AI on Databricks What we look for:

5+ years of experience in backend or infrastructure engineering

Strong programming skills in Scala, Go, or Python

Experience with distributed systems, scalable APIs, or cloud-native infrastructure

Familiarity with service-oriented architecture, deployment pipelines, and system observability

Strong product and ownership mindset — you care about building the right solution, not just any solution Bonus points for:

Experience with real-time serving, ML infrastructure, or GPU orchestration

Exposure to platforms like SageMaker, Vertex AI, or Azure ML

Contributions to OSS projects like MLflow, PyTorch, or Ray

Built developer platforms or internal tools supporting AI workflows Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page .

Local Pay Range$166,000—$225,000 USD