Why This Role Stands Out
This role offers an exceptional opportunity to lead critical engineering governance for a large-scale Google Cloud Platform rollout, allowing you to shape a robust release management operating model and ensure secure, predictable deployments. You'll thrive here if you are a seasoned release management professional with extensive GCP experience, eager to drive quality and audit-readiness in a regulated environment. Apply to make a significant impact on a reputable project.
Quick Overview
Job Description
Job Title | Sr Google Cloud Platform Release Management Engineer |
Location | Jersey City, NJ/NY – Locals Only - Onsite |
Duration | 1+ Yr |
Interview Mode | Video + Onsite |
The client requires the candidate already live local to the NY/NJ area (not willing to relocate).
Job Description
Google Cloud Platform, Testing, Release Management
7+ years
Role summary:
Lead engineering governance for a regulated, enterprise-scale Google Cloud Platform rollout. Own the release management operating model, testing/quality gates, and evidence discipline to ensure platform and onboarding changes deploy safely, predictably, and audit-ready.
Key responsibilities
Own end-to-end release governance for Google Cloud Platform platform and onboarding changes (release calendar, change approvals, go/no-go, rollback criteria, hypercare).
Define and enforce quality gates for IaC and platform changes (test strategy, regression coverage, environment promotion rules, peer review standards).
Run release readiness and post-release validation (cutover checklists, smoke tests, monitoring verification, incident triage during release windows).
Establish standards for release documentation and evidence capture (change records, test results, approvals, deployment traceability) aligned to control requirements.
Coordinate dependencies across IAM, networking, security/compliance, platform engineering, and application teams; drive timely decisioning and escalation.
Identify recurring release defects and process gaps; lead continuous improvement (root cause, corrective actions, automation of checks).
Define operational handoffs (runbooks, support model, SLAs, knowledge base) and ensure teams are production-ready.
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