Staff Software Engineer - Multi Cloud Efficiency

Databricks
Bengaluru
Workplace: RemoteFull timeFunction: Software EngineeringExperience: 9+ yearsSkills: ["Team leadership","Communication","Problem-solving","Mentoring","Strategic thinking"]

Lead Bengaluru-based MCE efforts to optimize cloud spend through scalable, distributed systems. Define technical strategy for efficiency projects, drive cross-functional initiatives with finance, mentor engineers, and build autonomous, self-improving systems for cost governance across multi-cloud environments.

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FursaFursa
Databricks
Databricks
2 months ago

Staff Software Engineer - Multi Cloud Efficiency

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead Bengaluru-based MCE efforts to optimize cloud spend through scalable, distributed systems. Define technical strategy for efficiency projects, drive cross-functional initiatives with finance, mentor engineers, and build autonomous, self-improving systems for cost governance across multi-cloud environments.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead the design and implementation of systems to optimize cloud spend and drive multi-hundred-million-dollar impact.
  • •Define the technical roadmap for the efficiency pillar and conduct design reviews and risk assessments for core infrastructure systems.
  • •Design scalable systems for regression detection and automated resource rightsizing; build frameworks to measure efficiency footprints and enforce automated release gates.
  • •Serve as a technical authority for incident management and improve stability and reliability of internal platform tools at global scale.
  • •Mentor junior and senior engineers to raise engineering quality and culture across the organization.

Key Requirements

  • •9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go.
Experience:9+ yearsDistributed systemsMulti-cloud
Skills:Team leadershipCommunicationProblem-solvingMentoringStrategic thinking
Languages:English
Tech Stack:JavaScalaC++GoAWSAzureGCPKubernetesDockerDistributed 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