P-1563
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
About the Team
We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We aren't just cutting costs; we are engineering systems to scale efficiently as our cloud footprint expands into the hundreds of millions of dollars.
The Role
As a Staff Software Engineer, you will serve as the technical lead for the Bengaluru MCE chapter. You will be responsible for defining the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost team, to tackle massive-scale engineering challenges, ensuring our systems can automatically drive cost efficiency and handle the complexity of global, multi-cloud data processing without compromising on performance or stability. As one of the founding senior engineers of the Bengaluru MCE chapter — a team that has already delivered millions of dollars in verified annual cloud savings within two quarters of formation — you will shape its technical direction and help scale it toward amplifying global impact.
The impact you will have
- 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. You will 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. You will define the roadmap for our 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. You will build the frameworks that allow product teams to measure their "efficiency footprint” — the cost and resource impact of their services and hold them accountable through automated release gates that block changes that regress agreed efficiency targets (SLOs).
- Operational Excellence: Serve as a technical authority for incident management, addressing complex, system-wide performance issues. You will improve the stability and reliability of our internal platform tools, ensuring they are robust enough to manage our growing global scale.
- Technical Leadership: 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 the 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.
What We Look For
- 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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 9+ years building production-grade distributed systems using Java, Scala, C++, or Go
- Proven experience architecting large-scale infrastructure and multi-cloud (AWS/Azure/GCP) solutions
- Experience with container orchestration and tooling (Kubernetes, Docker)
- Deep expertise diagnosing and solving performance bottlenecks in high-throughput, distributed environments
- Ability to define technical strategy for ambiguous problems and drive cross-functional initiatives
- Breadth across cloud infrastructure, monitoring, and software lifecycles (T-shaped skills)
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
