Sr. Manager, Engineering Configuration Platform Team

Databricks

Bellevue (WA)

On-site

USD 222,000 - 300,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Comprehensive benefits
Equity options
Annual performance bonus

Job summary

Databricks in Bellevue is seeking an experienced engineering manager for the Configuration Platform team. You will lead a team to improve how changes are shipped and rolled back safely, while also enhancing user experience across tools.

The ideal candidate has 5+ years of experience managing infrastructure teams, a strong background in distributed systems, and a focus on operational excellence. This role includes comprehensive benefits and competitive salary range between $222,000 and $300,000.

Qualifications

  • 5+ years managing backend, infrastructure, or platform teams.
  • Demonstrated track record managing high-performing teams.
  • Hands-on EM disposition and experience with incident response.

Responsibilities

  • Lead a team impacting thousands of engineers.
  • Reduce rates of customer-impacting incidents through strong guardrails.
  • Drive company-wide MTTR down through automated mitigation.

Skills

Management of backend teams
Distributed systems background
Operational experience with high-availability platforms
Product thinking for developers

Education

BS in Computer Science (Masters preferred)

Tools

Java/Scala
Kubernetes

Job description

RDQ427R368

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

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 ~10 microseconds p95 latency. It is the primary lever Databricks uses to safely roll out changes, run experiments, and mitigate incidents in minutes instead of hours.

The Impact You Will Have
  • You will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day
  • You will reduce the rate and blast radius of customer‑impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns
  • You will 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
  • You will 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
  • You will 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 bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$222,000–$300,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Sr. Manager, Engineering Configuration Platform Team
Sr. Manager, Engineering Configuration Platform Team

Menlo Ventures • Bellevue (WA)

On-site
USD 222,000 - 300,000
Comprehensive benefits
Annual performance bonus
Equity options
Sr. Manager, Engineering
Sr. Manager, Engineering

Databricks • Mountain View (CA)

On-site
USD 228,000 - 315,000
Sr. Staff Production Engineer - Data Platform
Sr. Staff Production Engineer - Data Platform

Cacheflow • San Francisco (CA)

On-site
USD 228,000 - 315,000
Senior Software Engineer - Infrastructure and Tools
Senior Software Engineer - Infrastructure and Tools

Cacheflow • San Francisco (CA)

On-site
USD 166,000 - 225,000
Comprehensive health coverage
401(k) Plan
Equity awards
+4
Staff Software Engineer - Backend
Staff Software Engineer - Backend

Databricks • Mountain View (CA)

On-site
USD 192,000 - 260,000
Comprehensive benefits
Annual performance bonus
Equity opportunities
Sr. Manager, Engineering - Artifact Distribution
Sr. Manager, Engineering - Artifact Distribution

Cacheflow • Bellevue (WA)

On-site
USD 217,000 - 299,000
Head of Corporate Engineering
Head of Corporate Engineering

Databricks Inc. • San Francisco (CA)

On-site
USD 248,000 - 348,000
Annual performance bonus
Equity options
Comprehensive health benefits
Sr Software Engineer, Agentic Applications
Sr Software Engineer, Agentic Applications

Databricks • Mountain View (CA)

On-site
USD 192,000 - 260,000
Comprehensive health coverage
401(k) Plan
Equity awards
+4
Sr. Engineering Manager - Agentic Service Platform
Sr. Engineering Manager - Agentic Service Platform

Menlo Ventures • Mountain View (CA)

On-site
USD 228,000 - 315,000
Senior Manager, Engineering - Artifact Distribution
Senior Manager, Engineering - Artifact Distribution

Databricks • Bellevue (WA)

On-site
USD 179,000 - 299,000