Job Description
Job Description
- 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 RESUME
YOUR 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
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
Description :
Lead the quality platform behind mission-critical software at ASRS. Partner 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 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).