Snowflake

Snowflake

Engineering Manager, Release Validation

US-WA-Bellevue · Mid

Sponsorship not specifiedDetected 14 days ago
SnowflakeCI/CDAgentic AILeadershipMentoring

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 84 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 74%

Of 57 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 502 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

123 transfer filings in the last year, covering 968 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Our AI pilled engineers treat validation as a scalable, developer-first platform.
  • Our customers are Snowflake engineers and their army of agents.
  • How do Snowflake engineers keep their agents running autonomous for hours and days, landing quality PRs with human interventions?

Responsibilities

  • Lead and grow the team. Hire, mentor, and develop engineers working on test infrastructure, automation, and developer tooling. Build a culture of ownership, technical excellence, and focus on the customer.
  • Own the validation platform. Be accountable for the reliability, scalability, and efficiency of our distributed regression and workload test frameworks, pre-production environments, and release validation pipeline..
  • Cut down release blockers. Lead efforts to improve how failures are traced to their cause, filter out noise from infrastructure problems, and speed up triage so real regressions reach the owning team quickly.
  • Drive AI and automation. Invest in AI-driven failure analysis and automated routing that remove manual work for engineers across Snowflake.
  • Work across teams. Act as the main partner to Release Engineering and engineering leaders on release quality

Requirements

  • 3-5 years of experience hiring, coaching, and developing engineers at different career stages.
  • Experience driving work across many teams and influencing without authority.

Benefits

  • Improve test health across the company.
  • Define and drive the multi-quarter vision for release validation: faster signals, fewer blockers, better test quality, and lower cost.

Company info

  • Snowflake engineering takes pride in building highly reliable and scalable products.In http://products.In the era of autonomous AI agents and continuous deployment, a traditional testing model breaks down under massive PR volume.
  • The Release Validation Team builds test frameworks that make continuous deployment safe, cost-efficient, and agent-friendly.
  • They rely on layers of validation that agents can execute in high-fidelity production simulation.
  • We give Snowflake the confidence to ship at speed without compromising
  • Snowflake's core brand promise:
  • extreme reliability.
  • Improve test health across the company. Work with feature teams to reduce flaky, non-hermetic, duplicate, and low-value tests, and set standards and incentives that keep them healthy.

This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.