Databricks

1 month 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: 21 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

Website LinkedIn

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Databricks

1 month 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: 21 hours agoStatus: Live

Job Summary

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

Website LinkedIn