Databricks

1 month ago

Sr. Manager, Engineering Configuration Platform Team

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Engineering Manager to lead the Configuration Platform team, overseeing backend/infra/platform engineering, with a strong emphasis on distributed systems, release safety, and cross-team collaboration. You’ll drive multi-quarter strategy for a critical stability primitive, mentor engineers, and shape developer UX and rollout policies to balance speed and reliability at scale.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Lead a team of engineers within the Configuration Platform organization, shaping how thousands of Databricks engineers ship, ramp, and roll back changes daily
•Reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes by implementing stronger guardrails, validation, and graduated rollout patterns
•Close the loop between bad changes and automated mitigation, driving MTTR down through health-mediated releases, auto-rollback, and zero-downtime configuration delivery
•Evolve the Configuration Platform UX (UI, CLI, agentic) to be frictionless and opinionated for engineers to safely author and rollout changes
•Grow the team into a Staff/Principal- level organization influencing speed vs reliability decisions across the company

Pay and Benefits

Salary: USD 222,000 - 300,000 annually

Key Requirements

•5+ years managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms
•Strong distributed systems and infrastructure background: Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments
•Hands-on EM disposition: stays close to the code, leads design reviews, and contributes technically alongside the team. Comfortable leveraging AI-assisted coding tools to amplify their own and the team’s output
•Demonstrated track record managing, growing, and retaining high performing teams
•Operational experience owning a high-availability platform with on-call, incident response, and measurable reliability improvements

Experience:5+ yearsInternal platformsDistributed systemsCloud

Education:Bachelor's

Skills:JavaScalaKubernetesRPCMulti-cloudAI-assisted codingDesign reviews

Languages:English

Tech Stack:JavaScalaKubernetesRPCMulti-cloud

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

Website LinkedIn

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Databricks

1 month ago

Sr. Manager, Engineering Configuration Platform Team

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Lead a team of engineers within the Configuration Platform organization, shaping how thousands of Databricks engineers ship, ramp, and roll back changes daily
•Reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes by implementing stronger guardrails, validation, and graduated rollout patterns
•Close the loop between bad changes and automated mitigation, driving MTTR down through health-mediated releases, auto-rollback, and zero-downtime configuration delivery
•Evolve the Configuration Platform UX (UI, CLI, agentic) to be frictionless and opinionated for engineers to safely author and rollout changes
•Grow the team into a Staff/Principal- level organization influencing speed vs reliability decisions across the company

Pay and Benefits

Salary: USD 222,000 - 300,000 annually

Key Requirements

•5+ years managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms
•Strong distributed systems and infrastructure background: Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments
•Hands-on EM disposition: stays close to the code, leads design reviews, and contributes technically alongside the team. Comfortable leveraging AI-assisted coding tools to amplify their own and the team’s output
•Demonstrated track record managing, growing, and retaining high performing teams
•Operational experience owning a high-availability platform with on-call, incident response, and measurable reliability improvements

Experience:5+ yearsInternal platformsDistributed systemsCloud

Education:Bachelor's

Skills:JavaScalaKubernetesRPCMulti-cloudAI-assisted codingDesign reviews

Languages:English

Tech Stack:JavaScalaKubernetesRPCMulti-cloud

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

Website LinkedIn