Senior Software Engineer (Backend) - AI/ML Environments

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 166,000 - 220,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Ownership","Communication","Collaboration"]

Join the ML/AI Environments team to build infrastructure that lets ML and AI users configure training and serving environments easily, reliably, and reproducibly. You’ll collaborate with AI infrastructure teams, interact with turnkey customers and product managers, and help shape how developers and data scientists build and interact with AI on Databricks, operating at the frontier of AI infrastructure.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
9 months ago

Senior Software Engineer (Backend) - AI/ML Environments

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join the ML/AI Environments team to build infrastructure that lets ML and AI users configure training and serving environments easily, reliably, and reproducibly. You’ll collaborate with AI infrastructure teams, interact with turnkey customers and product managers, and help shape how developers and data scientists build and interact with AI on Databricks, operating at the frontier of AI infrastructure.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •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 deliver features that help customers get more from the Databricks platform (e.g., performance improvements, observability).
  • •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.
  • •Own and drive technical decisions with a focus on building the right solution rather than any solution.

Pay and Benefits

Salary: USD 166,000 - 220,000 annually
Equity and Bonus:Equity

Key Requirements

  • •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.
Experience:5+ yearsAI/MLInfrastructureCloudDistributed systems
Skills:OwnershipCommunicationCollaboration
Languages:English
Tech Stack:PythonScalaJavaDistributed systemsContainerizationCloudAPIs

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn