Job Description
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!
Job Description
REQUIREMENTS:
- Total experience 7.5+ years
- Strong experience in Quality Engineering / Test Automation (UI, API, Integration)
- Expertise in Python (Expert) and Playwright with Java (Must Have)
- Hands-on experience in API Testing (REST APIs – Expert)
- Experience working with microservices architecture and distributed systems
- Practical exposure to AI Agents and GenAI / LLM-based tools (e.g., Copilot, prompt-driven automation)
- Proficiency in modern programming languages such as Java, JavaScript, or TypeScript
- Experience with CI/CD pipelines (GitHub Actions preferred) and version control (Git)
- Familiarity with test management tools (QMetry preferred; others acceptable)
- Experience working with Jira for test management, defect tracking, and release workflows
- Understanding of Agile, BDD, TDD, and Shift-Left testing practices
- Knowledge of contract testing (Pact.io – Good to Have)
- Familiarity with observability tools (e.g., New Relic – Good to Have)
- Good understanding of performance testing and high-traffic systems
- Ability to work on enterprise platforms (not just greenfield systems)
- Strong problem-solving, analytical, and communication skills
RESPONSIBILITIES:
- Build and maintain Playwright-based automation frameworks (UI/E2E)
- Design and execute API, integration, and contract tests
- Drive Shift-Left testing and automation strategy
- Integrate automated tests into CI/CD pipelines (GitHub Actions) for faster releases
- Work closely with cross-functional teams to validate business logic and system behavior
- Implement and support AI-driven testing approaches (GenAI, agent workflows, prompt-based automation)
- Ensure scalability, performance, and reliability of applications
- Implement monitoring and observability practices (e.g., New Relic)
- Support UAT, release cycles, and production rollouts
- Continuously improve test coverage, automation efficiency, and quality standards
- Collaborate across teams in complex enterprise environments with evolving requirements
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related field
