Staff Software Engineer - Backend

Databricks
London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Teamwork"]

Senior backend-focused software engineer responsible for building and scaling distributed systems on a SaaS lakehouse platform. You’ll contribute across the development cycle, work on high-performance services for cloud storage backends (AWS S3, GCS, Azure), and help define reliability targets (SLIs/SLOs) while collaborating with a founding London team to deliver secure, scalable data infrastructure.

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FursaFursa
Databricks
Databricks
6 months ago

Staff Software Engineer - Backend

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

Job Summary

Senior backend-focused software engineer responsible for building and scaling distributed systems on a SaaS lakehouse platform. You’ll contribute across the development cycle, work on high-performance services for cloud storage backends (AWS S3, GCS, Azure), and help define reliability targets (SLIs/SLOs) while collaborating with a founding London team to deliver secure, scalable data infrastructure.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, develop, and maintain large-scale distributed backend systems for a SaaS platform.
  • •Build reliable, secure, and high-performance services and client libraries to store and access vast data across cloud storage backends (AWS S3, GCS, Azure).
  • •Collaborate across teams to improve developer experience, monitoring, and reliability through SLIs/SLOs and root-cause analysis.
  • •Participate in end-to-end development, from planning to production, and contribute to architectural decisions for scalability and performance.
  • •Help define and drive long-term reliability improvements and uptime for Lakehouse components.

Key Requirements

  • •8+ 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
  • •Knowledge of SQL
  • •Build reliable, secure and high performance services and client libraries for storing and accessing large data on cloud storage backends (AWS S3, GCS, Azure)
Experience:8+ yearsSaaSDistributed systemsCloud
Education:Bachelor's
Skills:CommunicationProblem-solvingTeamwork
Languages:English
Tech Stack:JavaScalaC++SQLAWSGCSAzureS3Distributed systems

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