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Senior Manager, Engineering Configuration Platform Team

Job in Bellevue, King County, Washington, 98009, USA
Listing for: I did my part and supported the Regular Toilet
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 222000 - 300000 USD Yearly USD 222000.00 300000.00 YEAR
Job Description & How to Apply Below

The Configuration Platform team owns the systems that move configuration and feature flags across every Databricks service. The platform decouples code deployment from feature enablement for thousands of internal engineers, transports configuration across AWS, Azure, and GCP to every Databricks compute surface, and serves 25,000+ active flags and over 300 million evaluations per second at ~10μs p95 latency. It is the primary lever Databricks uses to safely roll out changes, run experiments, and mitigate incidents in minutes instead of hours.

We're looking for a Senior Engineering Manager to lead a team within the Configuration Platform organization. This is a hands‑on leadership role that combines deep distributed systems judgment with strong people leadership, driving multi‑quarter strategy on one of Databricks' most critical stability primitives while continuing to raise the bar for how engineers across the company ship change safely.

The impact you will have:
  • Lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day.
  • Reduce the rate and blast radius of customer‑impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns.
  • Close the loop between “bad change” and automated mitigation, driving company‑wide MTTR down through investments in health‑mediated releases, auto‑rollback, and zero‑downtime configuration delivery.
  • Evolve the Configuration Platform user experience into a frictionless, opinionated set of surfaces (UI, CLI, agentic) where engineers author, review, and roll out changes safely without thinking about the internals.
  • Grow the team into a Staff and Principal‑attracting org whose technical decisions shape how the company balances speed and reliability.
What we look for:
  • 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.
  • Comfortable partnering with senior+ engineers on design reviews, roadmap, and cross‑team execution while letting strong ICs own technical details.
  • Operational experience owning a high‑availability platform with on‑call, incident response, and measurable reliability improvements.
  • Demonstrated product thinking for developers: shaping opinionated UX, rollout policies, and developer workflows that make the safe path the easy path, with strong taste on the safety versus velocity tradeoff.
  • BS in Computer Science (Masters or higher level of education preferred).
COVID‑19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID‑19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance…

Position Requirements
10+ Years work experience
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