Staff Backend Software Engineer- (AI Platform)

Databricks
San Francisco
Workplace: OnsiteFull timeUSD 166,000 - 225,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Collaboration","Ownership","Problem-solving","Communication","Teamwork"]

Devise and build backend infrastructure for Databricks’ AI Platform, powering data apps, model training, serving, and vector search. You’ll work on a high-visibility, high-agency team to improve the reliability and efficiency of distributed AI workloads, collaborating with platform, infra, and ML teams to deliver end-to-end experiences for developers and data scientists.

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FursaFursa
Databricks
Databricks
4 months ago

Staff Backend Software Engineer- (AI Platform)

✓ 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

Devise and build backend infrastructure for Databricks’ AI Platform, powering data apps, model training, serving, and vector search. You’ll work on a high-visibility, high-agency team to improve the reliability and efficiency of distributed AI workloads, collaborating with platform, infra, and ML teams to deliver end-to-end experiences for developers and data scientists.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build infrastructure that powers flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs.
  • •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.
  • •Contribute to scalable APIs, deployment pipelines, and observability practices to support AI workloads

Pay and Benefits

Salary: USD 166,000 - 225,000 annually

Key Requirements

  • •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
Experience:5+ yearsAIDatabricksCloudDistributed systemsInfrastructureBackend
Skills:CollaborationOwnershipProblem-solvingCommunicationTeamwork
Languages:En
Tech Stack:ScalaGoPythonDistributed systemsAPIsCloudObservabilityDeployment pipelines

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