Strategic Overview
Senior Engineering Manager - Backend at Databricks is a leadership opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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….
The role is listed for Bengaluru, India with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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 —…
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.
Key Responsibilities & Objectives
- 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.
- Hire great engineers to build an outstanding team.
Required Qualifications & Candidate Blueprint
- 12+ years of extensive experience with large-scale distributed systems alongside the processes around testing, monitoring, SLAs etc
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This leadership opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.