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Engineering Manager - Backend

Databricks · Posted Oct 3

Data, analytics, machine learning, and generative AI intelligence platform services

Bengaluru, IndiaFull-timeOnsiteLead/Staff10+ years₹80.0L–₹1.6Cr yearly100+ applicants
Data and AI Platform SoftwareCloud ComputingBig DataArtificial IntelligenceGrowth Stage
Full time

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About the role

Databricks builds and runs a data and AI infrastructure platform used by more than 20,000 organizations, spanning cloud-agnostic resource management, reliable services and client libraries for massive-scale data, and infrastructure at the intersection of machine learning and distributed systems. As one of the first Engineering Managers in the Software Engineering team at Databricks India, this role owns hiring and growing a team of strong engineers, setting technical standards, and partnering with engineering and product leadership on a long-term roadmap. The manager will coordinate execution and collaborate across teams to unblock cross-cutting projects across different domains.

What you will do

  • 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.
  • Hire great engineers to build an outstanding team.
  • 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.

Skills used in this role

Distributed SystemsLarge-Scale Distributed SystemsCloudMachine LearningBig DataTestingMonitoringSLAsArchitecture ReviewsLeadershipHiringRoadmap Planning

What the employer is looking for

  • 10+ 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.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Databricks

Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.

Industry
Data and AI Platform Software
Company size
17300+ employees
Founded
2013
Location
San Francisco, California, USA
Funding stage
Private Company

Funding

Private Company · $25.2B raised

CoatueAndreessen HorowitzInsight PartnersFidelity InvestmentsFranklin Templeton
  • 2026-08-13Series L$5.0B

Leadership

AG
Ali Ghodsi

Co-founder and Chief Executive Officer

MZ
Matei Zaharia

Co-founder and Chief Technology Officer

IS
Ion Stoica

Co-founder and Executive Chairman

DC
David Conte

Chief Financial Officer

RX
Reynold Xin

Co-founder and Chief Architect