Lead QA Automation Engineer (Hybrid)

LOOKING FOR LOCAL ARIZONA RESIDENTS ONLY

SOAZ - Req # 8377 - AZASRS - Lead QA Automation Engineer - (Hybrid - 80% remote; onsite 1 3 /month)

Closing: 10/13/2025

• Additional Information
• Visa Sponsorship: Candidates must be currently authorized to work in the United States and able to change employers without the need for sponsorship now or in the future.
• This position is not eligible for visa sponsorship, either now or in the future. Applicants requiring sponsorship to work or to change employers will not be considered.
• Resumes should not be longer than 5 pages
• Mandatory Skills
• 10+ years in QA/automation with 5+ years leading/architecting frameworks. MUST have Leadership experience.
• Behavior-Driven Development (BDD) using Gherkin or Cucumber
• JavaScript, PowerShell, Python, Bash, or Ruby experience
• Experience with Spring Framework
• Preferred Skills
• Grafana experience
• Container Architecture: Docker or Kubernetes
• Experience with Azure, AWS, or GCP
• Maven
• AI experience
• Jira
• Confluence

What You'll Do

Own the quality platform: Set strategy, architecture, and standards for automation-Java today, with pragmatic evolution to modern UI/API automation where it improves reliability.
Embed quality early: Drive PR-level tests, contract/API checks, and CI/CD quality gates for rapid, trusted developer feedback.
Apply AI where it counts: Use AI/LLM-assisted test generation, self-healing locators, flake triage, and test-impact analysis to reduce toil and raise signal.
Simplify the SDLC: With DevOps, streamline pipelines, test data management, environment provisioning, and release guardrails for faster flow.
Solve hard problems with architects: Tackle cross-cutting issues (auth, data, performance, flakiness) and retire tech debt with durable solutions.
Build the right tests: Expand reliable web/UI, API, and integration coverage; harden environments and test data.
Coach and elevate: Mentor QA engineers, review automation code, and set standards for readability, reliability, and maintainability.
Measure what matters: Stand up live dashboards (coverage, pass/fail, flakiness, MTTR) to inform decisions and continuously raise the bar.
Own root cause: Lead deep-dive debugging across test and prod, driving prevention-not just fixes.


Your Toolbox (What We Use & Value)

Languages/Frameworks: Java, JUnit, Maven; BDD with Cucumber/Gherkin.
Automation: Selenium WebDriver (today); informed experience with Playwright (Java/TypeScript) a plus.
CI/CD & SCM: Jenkins, GitHub Actions; GitHub for collaboration.
Observability & Metrics: Grafana (quality and performance dashboards).
Backend/Platform context: Spring Boot/Spring Security; Oracle DB; FileNet/content systems.
Scripting: PowerShell or similar for utilities.
Quality practices: Testing pyramid, risk-based design, code reviews, and environment parity.


Where We're Headed (And Where You'll Lead)


GitHub-native CI/CD: Standardize on GitHub pipelines for frequent, automated deployments-define branch strategy, environment promotions, and reusable workflows that make shipping safe by default.
Reliable testing for high velocity: Build a strategy that scales with cadence-PR checks, contract/API tests, fast UI smoke suites, test-impact analysis, deterministic data & ephemeral envs, parallelization, and rigorous flake control.
AI-assisted, data-driven quality: Apply LLM-assisted test generation/self-healing and enforce quality gates backed by live dashboards (coverage, flakiness, MTTR, DORA) to boost signal and confidence.
Framework evolution (tool-agnostic): Evaluate and pilot modern UI/API automation options against clear criteria (reliability, speed, parity, maintainability, ROI) and recommend phased adoption that protects delivery.


What You Bring

10+ years in QA/automation with 5+ years leading/architecting frameworks.
Proven success embedding automated quality gates into CI/CD for high-velocity releases.
Track record mentoring engineers and raising the bar on code quality and test design.
Comfort collaborating with architects and senior engineers on systemic quality problems.


Nice-To-Have

Experience introducing AI tooling (e.g., Copilot, test-gen, self-healing) into real teams.
Performance, security, or contract-testing exposure.


Work Setup & Logistics

Hybrid: Mostly remote; design/whiteboard sessions in Phoenix as needed.
Equipment: Personal laptop required; Windows workstation provided for remote access.
Eligibility: Must be AZ-local and able to work for any U.S. employer (no sponsorship).