Joblaze summary

In the role of Senior Engineering Manager for Backend at Databricks, the individual will lead a team focused on building scalable infrastructure and products that support big data and machine learning workloads. Key skills include extensive experience with large-scale distributed systems and a strong background in software engineering leadership. This position is ideal for seasoned professionals with a proven track record in managing engineering teams and developing innovative solutions. Databricks emphasizes a culture of engineering excellence and collaboration across teams to drive impactful projects.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 30, 2026.
distributed systems appears in 7.5% of 93 comparable senior backend roles in India; Machine Learning appears in 1.1% of 93 comparable senior backend roles in India.

Quick facts

How much experience is required?: At least 12 years of relevant experience for this Senior Engineering Manager - Backend role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Big Data, Cloud, Machine Learning, distributed systems.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Engineering Manager - Backend role at Databricks.

From the original posting

P-995

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.

You will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
Build tools to allow Databricks engineers to operate their services across different clouds and environments
Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

Hire great engineers to build an outstanding team.
Support engineers in their career development by providing clear feedback and develop engineering leaders.
Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
Work with engineering and product leadership to build a long-term roadmap.
Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
Extensive experience as a Software Engineering Leader , building & scaling software engineering teams from ground up
Extensive experience managing a team of strong software engineers
Partner with PM, Sales, and Customers to develop innovative features & products.
BS (or higher) in Computer Science, or a related field.

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Senior Engineering Manager - Backend

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