Sr. Engineering Manager - Agentic Service Platform

Databricks
Mountain View
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsSkills: []

Lead and scale a multi-disciplinary engineering team building the core application platform infrastructure that powers every microservice at Databricks. Own multi-year technical strategy for the App Framework domain, drive high-quality delivery of cross-team initiatives, hire top engineers, coach senior ICs and line managers, and champion engineering excellence across partner organizations to ensure long-term platform success.

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FursaFursa
Databricks
Databricks
3 months ago

Sr. Engineering Manager - Agentic Service Platform

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Last checked: 6 hours agoStatus: Live

Job Summary

Lead and scale a multi-disciplinary engineering team building the core application platform infrastructure that powers every microservice at Databricks. Own multi-year technical strategy for the App Framework domain, drive high-quality delivery of cross-team initiatives, hire top engineers, coach senior ICs and line managers, and champion engineering excellence across partner organizations to ensure long-term platform success.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead and scale a multi-faceted engineering team of engineers, which may include line managers and senior ICs, building core application platform infrastructure used by every service at Databricks.
  • •Own and set the multi-year technical strategy and organizational roadmap for a critical cross-cutting domain within the App Framework.
  • •Drive and ensure the predictable, high-quality delivery of complex, multi-quarter/multi-year strategic initiatives, often spanning multiple teams and product areas.
  • •Hire great engineers to build an outstanding team.
  • •Champion the career development and growth of engineers and managers, including coaching senior ICs and guiding line managers.

Key Requirements

  • •8+ years of engineering experience building and operating large-scale distributed systems, service frameworks, or platform infrastructure
  • •4+ years of engineering management experience leading strong technical teams
  • •Track record of high technical judgment (equivalent to a Staff Engineer) in building and operating large-scale distributed systems with broad customer impact
  • •Experience attracting, hiring, and mentoring line managers or senior/staff ICs (L5/L6) with promotions and performance management
  • •Experience building and running cloud platforms or quickly learning SaaS concepts
Experience:8+ yearsDistributed systemsCloud platformsSaaS
Languages:English
Tech Stack:Multi-language service frameworksRPC frameworksCore librariesObservabilityRuntime infrastructure

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn