Overview
Accepts corp to corp applications
Contract - W2
Contract - 30 day((s))
Skills
JavaScript
Jira
Python
Confluence
Maven
Azure
Bash
PowerShell
AWS
Spring Framework
AI experience
or GCP
Grafana experience
Container Architecture: Docker or Kubernetes
Job Details
ONLY CURRENT ARIZONA RESIDENTGS WILL BE CONSIDERED, PLEASE DO NOT APPLY IF YOU ARE NOT RESIDING IN AZ
NO VISA CANDIDATE
SOAZ-Req # 8737- AZASRS - Software QA Technical Lead
(Local Only/80% Remote/Hybrid)
Contract-to-Hire (eligible for FTE conversion after ~6 months)
Closing: 11/14/2025 @ 3 PM
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)
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
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
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
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).
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).
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
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 Google Cloud Platform
- Maven
- AI experience
- Jira
- Confluence
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.