Senior Software Engineer - Infrastructure and Tools

Databricks
San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: []

Senior Software Engineer on the Infrastructure team building scalable, multi-cloud systems for the Databricks platform. You’ll extend the infrastructure, manage thousands of Kubernetes clusters, and develop automated build, test, and release pipelines while improving engineering workflows and system reliability across petabytes of data.

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FursaFursa
Databricks
Databricks
4 years ago

Senior Software Engineer - Infrastructure and Tools

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Senior Software Engineer on the Infrastructure team building scalable, multi-cloud systems for the Databricks platform. You’ll extend the infrastructure, manage thousands of Kubernetes clusters, and develop automated build, test, and release pipelines while improving engineering workflows and system reliability across petabytes of data.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and extend components of the core Databricks infrastructure
  • •Architect multi-cloud systems and abstractions to allow the Databricks product to run on top of existing Cloud providers
  • •Improve software development workflows for engineering and operational efficiency
  • •Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement
  • •Develop automated build, test, and release infrastructures

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityParental LeaveFamily PlanningGym MembershipEapTravel Allowance

Key Requirements

  • •BS in Computer Science or related field
  • •5+ years of experience writing production code in Java, Scala, Go, C++ or Python
  • •Passion for building highly scalable and reliable infrastructure
  • •Experience architecting, developing and deploying large-scale distributed systems at scale
  • •Experience with cloud APIs and cloud technologies (AWS/Azure/GCP, Docker, Kubernetes, Terraform)
Experience:5+ yearsCloudDistributed systemsInfrastructure
Education:Bachelor's
Languages:English
Tech Stack:JavaScalaGoC++PythonDockerKubernetesTerraformBazelCI/CD

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