Software QA Automation Lead Local to AZ

Position: A-10/9 - 8377 - Software QA Automation Lead - - Contract to Hire - Must be Local to AZ Only
*** Contract to Hire - This position is not eligible for visa sponsorship, either now or in the future.
***** Hybrid work model, mostly remote; on-site in Phoenix, AZ for design/whiteboard session as needed.

Candidate must currently reside in Arizona – no relocation allowed. Candidate must attend an in-person interview. Candidate must provide AZ Driver’s License as proof of residency.

Candidate must use their own personal laptop with a Windows workstation for remote access.

Candidate must work AZ time zone business hours. All work must be completed in the United States.
** Our direct client has an opening for a Software QA Automation Lead # 8377. This position is for 6 months contract to hire and will be worked in a hybrid schedule on-site in Phoenix, AZ as needed – however mostly remote. All work must be completed in the United States.

If you are interested, please submit the following:

YOUR CURRENT RESUMEYOUR HOURLY RATE Rate Range is $50-63/hr W2 or $55-67/hr Corp to Corp – Direct with candidate ONLY – No Subcontractors Allowed Below is the job description – Resumes due ASAP – Resumes Due by Monday, October 13

Required Skills:

3+ years in a technical leadership or lead automation engineer role. MUST have Leadership experience

Behavior-Driven Development (BDD) using Gherkin or Cucumber Java Script , Power Shell, Python, Bash, or Ruby experience

Experience with Spring Framework Preferred

Skills:

Grafana experience

Container Architecture:
Docker or Kubernetes

Experience with Azure, AWS, or GCPMaven

AI experience

Jira Confluence Description :

Lead the quality platform behind mission-critical software tner directly with architects to fix today’s framework pain, modernize our stack, and hard-wire a true shift-left culture—while piloting AI-assisted testing to boost coverage, speed, and confidence.

What You’ll DoOwn 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 Dev Ops, 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 Web Driver (today); informed experience with Playwright (Java/Type Script) a plus.

CI/CD & SCM:
Jenkins, Git Hub Actions;
Git Hub for collaboration.

Observability & Metrics:
Grafana (quality and performance dashboards).Backend/Platform context:
Spring Boot/Spring Security;
Oracle DB;
File Net/content systems.

Scripting:
Power Shell 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)
Git Hub-native CI/CD:
Standardize on Git Hub 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…