Databricks jobs

Databricks is hiring a Site Reliability Engineer for its IT Infrastructure and Operations team to design, deploy, and maintain production-grade cloud infrastructure and observability platforms. You'll own the evolution of core infrastructure, architect automated solutions on AWS/Azure using Terraform or Pulumi, optimize system performance and reliability, build robust CI/CD pipelines with GitHub Actions, and participate in on-call incident response. The role requires 5+ years of production software engineering experience with non-negotiable Python proficiency, expert-level IaC skills (Terraform or Pulumi), hands-on cloud and Kubernetes experience, deep observability knowledge, and the ability to execute independently on ambiguous projects. Databricks is a well-funded, high-growth data and AI company trusted by over 50% of the Fortune 500, headquartered in San Francisco with global offices. The deal-breaker here is the explicit requirement for 5+ years of production Python experience—this is non-negotiable for the role.

This is a Staff Software Engineer role in Databricks' AI Research Infrastructure team, focused on building the computational backbone that powers large-scale model training and inference experiments. You'll design and operate infrastructure for scheduling, orchestrating, and monitoring workloads across thousands of GPUs, while building developer tooling that lets researchers move from idea to experiment in minutes. The role requires 5+ years of software engineering with deep experience in distributed systems, cluster schedulers (Kubernetes, Slurm, Ray), and systems programming languages like C++, Rust, Go, Java, or Scala, plus understanding of modern ML workflows like distributed training and model parallelism. Databricks is a well-funded, high-growth company trusted by 50%+ of Fortune 500 companies, offering competitive compensation ($199k–$270k base) plus equity and performance bonuses. The stand-out detail: this role requires hands-on expertise with GPU clusters and large-scale job orchestration systems—not just theoretical knowledge—making it a specialized infrastructure position that demands prior experience operating massive compute infrastructure.

Databricks seeks AI Forward Deployed Engineers to deliver professional services engagements that help customers build and productionize cutting-edge generative AI applications. The role involves developing GenAI solutions using techniques like RAG and multi-agent systems, owning production rollouts, and serving as a trusted technical advisor while collaborating cross-functionally with product and engineering teams to influence the roadmap. You'll need extensive hands-on experience building GenAI applications with tools like LangChain and HuggingFace, proven expertise deploying production-grade ML on major cloud platforms, and a quantitative graduate degree or equivalent practical experience. The position is open at all levels and fully remote globally, with Databricks being a well-funded data and AI company trusted by over 50% of the Fortune 500. A stand-out requirement is the ability to communicate and teach technical concepts to diverse audiences, positioning this as a customer-facing role rather than purely IC-focused work.