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Databricks
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Engineering Manager, Serverless Compute Platform
ICT
Company shared salary
NA
Market rate
₹250,000–₹450,000/mo (₹3,000,000–₹5,400,000/yr)
Based on similar roles (title + domain + location).
About the Company
At Databricks, we are passionate about helping data teams 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 AI and data 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. The Serverless Compute Platform is the backbone of Databricks' fastest-growing products, powering massive growth in existing product lines (e.g. Generic Compute, SQL) as well as new and emerging products (e.g. Lakewatch, interactive compute). Behind this hockey stick growth is a set of highly scalable, efficient, and intelligent services managing tens of millions of virtual machines daily across AWS, Azure, and GCP.
Responsibilities
- ● Own the end-to-end delivery of the new Execution Sandbox service and the engineers building it.
- ● Build out the full vision, guide evolution, and scale the team.
- ● Ensure strong execution health and that the service launches with production-grade reliability spanning a range of use cases, e.g. GPU onboarding, UDF generalization, and managed REPL.
- ● Architect and launch the Execution Sandbox Service from inception to production scale.
- ● Unify a fragmented compute surface by converging disparate CPU and GPU cluster management paths into a single provisioning service, eliminating parity bugs and enabling consistent product experiences.
- ● Collaborate across 5+ partner organizations, driving alignment on API contracts and shared milestones across Serverless Platform, AI Runtime, Lakeguard, and product teams.
- ● Shape product strategy through deep technical understanding, partnering with Product Management to leverage this new sandbox primitive for future offerings like serverless command execution APIs and FaaS-style workloads.
- ● Manage and elevate a team of strong L3-L5 engineers, establishing clear ownership boundaries and architectural doctrine.
- ● Hire 2-3 additional engineers to support this.
Requirements
- ● 5+ years managing engineers building and operating distributed systems in production, ideally control-plane or orchestration services.
- ● BS or higher in Computer Science or a related field, or equivalent practical experience.
- ● Deep technical fluency in infrastructure systems, with the ability to deeply review architecture docs, challenge design tradeoffs (e.g., state machine design, API boundaries), and coach senior ICs.
- ● Experience with multi-cloud or multi-region service deployment (AWS, Azure, GCP).
- ● Bias toward operational rigor and deep commitment to observability, SLOs, pre-mortems, and healthy on-call cultures.
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