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Snowflake

Runs a cloud platform for business data and AI

Engineering Manager - Release Validation

Engineering LeadershipConfirmed live in the last 24 hours
Full-time$236k - $339.2k /yrIn-person

About the Job

Requirements

  • 3–5 years of experience hiring, coaching, and developing engineers at different career stages.
  • Experience building and running large-scale CI/CD, test infrastructure, or developer productivity platforms, ideally for complex distributed systems.
  • A strong technical background with enough depth to review designs, make architecture tradeoffs, and earn the respect of senior engineers.
  • A solid grasp of test strategy, including regression versus workload testing, hermeticity, flakiness, coverage tradeoffs, and release gating.
  • Experience driving work across many teams and influencing without authority.
  • A data-driven leadership style, setting measurable goals and using metrics to prioritize and show impact.
  • Strong communication skills, including explaining complex technical tradeoffs to engineers and executives.
  • A BS or MS in Computer Science or related majors, or equivalent experience.

Responsibilities

  • Lead and grow the team by hiring, mentoring, and developing engineers working on test infrastructure, automation, and developer tooling, and build a culture of ownership, technical excellence, and customer focus.
  • Define and drive the multi-quarter release validation strategy and roadmap for faster signals, fewer blockers, better test quality, and lower cost.
  • Own the reliability, scalability, and efficiency of distributed regression and workload test frameworks, pre-production environments, and the release validation pipeline.
  • Work with feature teams to reduce flaky, non-hermetic, duplicate, and low-value tests, and set standards and incentives that keep tests healthy.
  • Improve failure tracing, filter out infrastructure noise, and speed up triage so real regressions reach the owning team quickly.
  • Drive AI-based failure analysis and automated routing to reduce manual work for engineers across Snowflake.
  • Partner with Release Engineering and engineering leaders on release quality.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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