QE Automation Architect

TekWissenAtlanta, GA
Onsite

About The Position

This role requires deep expertise in automation frameworks, CI/CD integration, AI‑assisted testing, and strong domain knowledge in telecom and financial processes, ensuring quality from feature inception through post‑production validation.

Requirements

  • 10–14 years of experience in Quality Engineering / Test Automation
  • Ownership of automation architecture frameworks
  • Experience with AI‑assisted testing solutions
  • Strong proficiency in: Selenium Java REST APIs / REST Assured
  • Experience with cloud test execution platforms: LambdaTest Selenium Grid Sauce Labs (or equivalent)
  • Strong understanding of release readiness
  • Proficiency with defect tracking and test management tools: JIRA qTest
  • Exposure to GitLab and CI/CD tools
  • Experience with integration testing across multiple systems
  • Strong expertise in data validation and reconciliation testing
  • Knowledge of Telecom regulatory environments
  • Understanding of SOX compliance
  • Experience working with corporate and financial systems
  • Strong analytical and troubleshooting skills
  • Excellent communication and stakeholder‑management abilities
  • Proven mentoring and leadership capability

Responsibilities

  • Own automation architecture for Corporate and Financial systems at enterprise scale
  • Design and enhance robust automation frameworks using Java, Selenium, REST Assured, and integrate with cloud execution platforms and GitLab
  • Define standards for: In‑sprint automation API‑first testing Regression testing Release validation
  • Define and enable CI/CD pipeline configuration, integration, and continuous quality gates
  • Validate end‑to‑end system integrations, data flows, and downstream impacts across enterprise systems
  • Establish reusable test assets aligned with telecom backend systems and financial processes
  • Mentor QE teams on: Test design patterns Automation best practices Domain‑driven testing
  • Ensure test coverage from feature inception through production rollout and post‑release validation
  • Mentor teams on modern automation patterns, AI usage, and Agile QE practices
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