P-78 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 ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. 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. The impact you will have Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly.

Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. Interact with turnkey customers and product managers to envision new features and identify areas for improvement.

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 with a focus on building systems Strong programming skills in Python, Scala or Java 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 Strong understanding of dependency management technologies including virtual environments or containerization technologies.

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.

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.

package for this position may also include eligibility for annual performance bonus, equity, and the

Benefits

listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $166,000 $220,000 USD About Databricks Databricks is the data and AI company.

More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

At Databricks, we strive to provide comprehensive

offered i

Benefits And Perks

that meet the needs of all of our employees.

Senior Software Engineer (Backend) - AI/ML Environments