Staff Software Engineer (Infrastructure)

Databricks
Bengaluru
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving"]

Senior backend infrastructure engineer building at-scale services for a data & AI platform. You’ll own distributed systems, reliable and high-performance data services, and orchestration, contributing to pricing infrastructure and developer experiences across cloud storage backends such as AWS S3 and Azure Blob Store, with a focus on scalable, production-grade infrastructure.

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FursaFursa
Databricks
Databricks
1 year ago

Staff Software Engineer (Infrastructure)

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

Job Summary

Senior backend infrastructure engineer building at-scale services for a data & AI platform. You’ll own distributed systems, reliable and high-performance data services, and orchestration, contributing to pricing infrastructure and developer experiences across cloud storage backends such as AWS S3 and Azure Blob Store, with a focus on scalable, production-grade infrastructure.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, build and operate backend infrastructure across distributed systems and at-scale service architectures
  • •Deliver reliable, high-performance services and client libraries for storing and accessing massive data on cloud storage backends
  • •Develop scalable services and data pipelines using technologies like Scala, Kubernetes, Apache Spark, and Databricks
  • •Contribute to pricing infrastructure and features that help customers view and control platform usage
  • •Improve developer experience and monitoring across infrastructure platforms

Key Requirements

  • •BS (or higher) in Computer Science, or a related field
  • •12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
  • •6+ years experience developing large-scale distributed systems from scratch
  • •Experience working on a SaaS platform or with Service-Oriented Architectures
  • •Experience working on Infrastructure related projects is a plus
Experience:12+ yearsSaaSData platformsInfrastructure
Education:Bachelor's
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:PythonJavaScalaC++KubernetesApache SparkDatabricksSparkAWS S3Azure Blob Storage

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