Sr. Software Engineer- Backend

Databricks
New York
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Problem-solving","Communication","Collaboration"]

Backend/infrastructure focused role building the substrate for AI platform workloads, targeting scalable, low-latency distributed systems. You’ll collaborate across platform, infra, and ML teams to power data apps, AI agents, model training and serving, shaping how developers and data scientists interact with AI on Databricks. 5+ years in backend or infrastructure engineering with strong coding in Scala, Go, or Python.

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FursaFursa
Databricks
Databricks
7 months ago

Sr. Software Engineer- Backend

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

Job Summary

Backend/infrastructure focused role building the substrate for AI platform workloads, targeting scalable, low-latency distributed systems. You’ll collaborate across platform, infra, and ML teams to power data apps, AI agents, model training and serving, shaping how developers and data scientists interact with AI on Databricks. 5+ years in backend or infrastructure engineering with strong coding in Scala, Go, or Python.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build infrastructure powering Databricks AI platform offerings (MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, 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 the design and evolution of backend services and APIs to support AI workloads

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+ yearsBackendInfrastructureDistributed systems
Skills:Problem-solvingCommunicationCollaboration
Languages:English
Tech Stack:ScalaGoPythonDistributed systemsCloud-nativeAPIsObservabilityDeployment 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