Staff Software Engineer - Backend

Databricks
Bellevue, Seattle
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Scala","Java","SQL","Kubernetes","Docker","AWS","Azure","GCP","Spark","Kafka","Terraform","CloudFormation"]

Join Databricks as a Staff Software Engineer specializing in backend systems to design, implement, test, and operate micro-services that power the Databricks data and AI platform. You’ll work with Scala/Java, data pipelines, and cloud APIs (AWS/Azure/GCP), collaborating with product management on scalable, secure distributed services across large-scale deployments.

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FursaFursa
Databricks
Databricks
3 years ago

Staff Software Engineer - Backend

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Join Databricks as a Staff Software Engineer specializing in backend systems to design, implement, test, and operate micro-services that power the Databricks data and AI platform. You’ll work with Scala/Java, data pipelines, and cloud APIs (AWS/Azure/GCP), collaborating with product management on scalable, secure distributed services across large-scale deployments.
Location: Bellevue, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, implement, test, and operate micro-services for the Databricks platform and product
  • •Collaborate with product management to prioritize features and deliver incremental improvements
  • •Build data pipelines and integrate with third-party applications
  • •Interact with cloud APIs and manage cloud-native infrastructure
  • •Contribute to scalable, secure distributed services across multi-region deployments

Key Requirements

  • •BS/MS/PhD in Computer Science or a related field
  • •10+ years of production-level experience in Java, Scala, C++, or a similar language
  • •Experience in architecting, developing, deploying, and operating large-scale distributed systems
  • •Experience working on a SaaS platform or with Service-Oriented Architectures
  • •Good knowledge of SQL and experience with cloud technologies (e.g., AWS, Azure, GCP, Docker, Kubernetes)
Experience:10+ yearsDistributed systemsCloudSaaS
Education:Bachelor's
Skills:ScalaJavaSQLKubernetesDockerAWSAzureGCPSparkKafkaTerraformCloudFormation
Languages:English
Tech Stack:ScalaJavaSQLSparkKafkaAWSAzureGCPDockerKubernetesTerraformCloudFormation

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