Staff Software Engineer - Multi Cloud Efficiency
Databricks
Bengaluru, IndiaPosted 1 month ago
Skill Required
Engineering - PipelineCloud EngineerSoftware EngineerSoftware DeveloperCloudSystem DesignEngineeringDatabricksKubernetesObservabilitydesigningbuildingDockerdesignC++ScalaAzureUnityJavaAWSGCPGoAI
Key highlights
- Staff Software Engineer role in Bengaluru, India
- 9+ years of experience required
- Technical lead for MCE chapter with global impact
- Focus on optimizing cloud spend at massive scale (hundreds of millions of dollars)
- Comprehensive benefits package
- Commitment to diversity and inclusion
Role overview
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform. As a Staff Software Engineer with a backend focus in Bengaluru, India, you will work with your team to build infrastructure for the Databricks platform at scale. The MCE team builds critical tools, frameworks, and automated systems to optimize cloud infrastructure costs and ensure maximum resource utilization across AWS, Azure, and GCP. As a founding senior engineer of the Bengaluru MCE chapter, you will shape its technical direction and lead cross-functional efforts to tackle massive-scale engineering challenges, ensuring systems drive cost efficiency without compromising performance or stability.
Responsibilities
- Serve as the technical lead for the Bengaluru MCE chapter, defining the technical strategy for efficiency projects where solutions are not yet known
- Lead cross-functional efforts, working with finance and cost teams, to tackle massive-scale engineering challenges
- Ensure systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability
- Shape the technical direction of the Bengaluru MCE chapter and help scale it toward amplifying global impact
- Architect at scale: lead the design and implementation of systems to optimize cloud spend, driving impact in the magnitude of hundreds of millions of dollars
- Architect solutions for complex problems like reserved-instance automation, tag-based cost attribution at scale, automated waste-cleanup policy engines, and cross-cloud resource governance
- Drive technical strategy: identify and deliver high-impact, well-adopted projects that solve complex efficiency problems
- Define the roadmap for the efficiency pillar, conducting thorough design reviews and risk assessments for systems supporting the company's core infrastructure
- Engineer for efficiency: design scalable systems for regression detection and automated resource rightsizing
- Build frameworks that allow product teams to measure their 'efficiency footprint' — the cost and resource impact of their services
- Hold product teams accountable through automated release gates that block changes that regress agreed efficiency targets (SLOs)
- Serve as a technical authority for incident management, addressing complex, system-wide performance issues
- Improve the stability and reliability of internal platform tools, ensuring they are robust enough to manage growing global scale
- Act as a force multiplier by mentoring junior and senior engineers, raising the bar for engineering quality, and driving engineering culture across the organization
- Build self-driving efficiency systems: design automation and agentic layers — AI-driven detection, decisioning, and autonomous remediation — that let cost governance run continuously at scale, shifting the team from manual cleanup to systems that keep themselves efficient
Requirements
- 9+ years of experience building production-grade, distributed systems in Java, Scala, C++, or Go
- Proven track record of architecting solutions for large-scale infrastructure, cloud computing (AWS/Azure/GCP), and container orchestration (Kubernetes/Docker)
- Deep expertise in identifying and solving performance bottlenecks in high-throughput, distributed environments
- Demonstrated ability to drive technical requirements for ambiguous problems where the path forward is not obvious
- T-shaped engineering skills: depth in distributed systems and breadth across cloud infrastructure, monitoring, and software lifecycles
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (region-specific details available via provided link)
Additional details
- P-1563
- Founded by engineers and customer-obsessed, Databricks leaps at opportunities to solve technical challenges, from designing next-gen UI/UX to scaling services across millions of virtual machines
- The MCE team has already delivered millions of dollars in verified annual cloud savings within two quarters of formation
- Databricks is the Data and AI company, with over 20,000 organizations worldwide (including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500) relying on its platform
- Headquartered in San Francisco with 30+ offices globally, Databricks offers a unified platform including Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog
- Databricks is committed to fostering a diverse and inclusive culture where everyone can excel, with hiring practices that meet equal employment opportunity standards
- Individuals are considered for employment without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics
- If access to export-controlled technology or source code is required for job duties, it is within Employer's discretion whether to apply for a U.S. government license, and Employer may decline to proceed with an applicant on this basis alone