Full Description

Full job description attached & required/preferred skills are stated below.

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. 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