Senior Software Engineer - Backend

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Java","Scala","C++","SQL","Distributed systems","SaaS","Cloud","Docker","Kubernetes","Security"]

Backend-focused software engineer at Databricks building infrastructure and products for the Databricks platform at scale. Work across core compute fabric, service platforms, and ML infrastructure, developing scalable cloud-native services and tooling to operate across clouds and environments and to support data-heavy workloads.

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FursaFursa
Databricks
Databricks
3 years ago

Senior Software Engineer - Backend

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Backend-focused software engineer at Databricks building infrastructure and products for the Databricks platform at scale. Work across core compute fabric, service platforms, and ML infrastructure, developing scalable cloud-native services and tooling to operate across clouds and environments and to support data-heavy workloads.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build infrastructure and products for the Databricks platform at scale with your team
  • •Contribute to resource management infrastructure powering big data and ML workloads in a scalable, secure, cloud-agnostic way
  • •Develop reliable, scalable services and client libraries that handle massive data across clouds and regions
  • •Create tools to enable Databricks engineers to operate services across different clouds and environments
  • •Develop services, products and infrastructure at the intersection of machine learning and distributed systems

Pay and Benefits

Perks:Health Insurance401kEquity

Key Requirements

  • •BS (or higher) in Computer Science, or a related field
  • •5+ years of production level experience in one of: Java, Scala, C++, or similar language
  • •Experience developing large-scale distributed systems
  • •Experience working on a SaaS platform or with Service-Oriented Architectures
  • •Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
Experience:5+ yearsSaaSData platformMachine learning
Education:Bachelor's
Skills:JavaScalaC++SQLDistributed systemsSaaSCloudDockerKubernetesSecurity
Languages:English
Tech Stack:JavaScalaC++SQLDockerKubernetesAWSAzureGCP

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