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Google Cloud Platform, Testing, Release Management

SOAL Technologies, LLC.Jersey City, NJ🇺🇸United StatesPosted 12 Aug 2026

Why This Role Stands Out

This role offers an exciting opportunity to lead engineering governance for a large-scale Google Cloud Platform rollout, developing critical expertise in release management and quality assurance within a regulated environment. You'll thrive here if you have a strong background in GCP, testing, and release processes, and are eager to shape a robust and audit-ready deployment framework. Apply now to make a significant impact and grow your career in a hybrid work setting.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
4 weeks ago
ComplianceContinuous ImprovementGoogle CloudOnboardingTriage

Job Description

Job Description
Google Cloud Platform, Testing, Release Management
7+ years
Location - Jersey City
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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