Sr. Manager, Engineering Configuration Platform Team

About the role

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.

Responsibilities

• 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

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
• 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

Qualifications

• BS in Computer Science (Masters or higher level of education preferred)

Skills

• Experience with distributed systems and infrastructure
• Experience with Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments
• Experience with hands-on engineering management and team growth
• Experience with operational excellence and reliability improvements
• Experience with product thinking and developer workflows

Benefits

Details on benefits are available on the company's website.

Pay

Pay range for this role is $150,000 - $250,000 annually.

Schedule

Full-time position.

Contact Information

To apply, please visit our careers page.

Equal Opportunity Employer

Databricks is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, national origin, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.

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.