Quality Engineer

Quality Engineering at HMH

Responsibilities:

• Plan, develop, debug and execute test automation for UI, API and backend systems
• Collaborate with developers, architects, designers and product owners to deliver high-quality software in aContinuous Deliveryenvironment
• Write and maintain scalable, high-quality test automation code (e.g., in JavaScript, Java, Python)
• Extend and optimize automation frameworks, including leveragingAgentic AI toolinglike ACCELQ Autopilot for intelligent regression testing
• Integrate with AI-based coding agents (e.g., GitHub Copilot) to enhance and speed up script development
• Ensure there is adequate test coverage, reliability, speed of execution and test data creation in a Continuous Delivery environment (Jenkins build pipelines)
• Propose your ideas - drive the quality agenda in your team - be an advocate of quality in your team and to always look for ways to improve tools and processes

Skills & Experience

• 3 to 5 years of experience in Quality Engineering role
• Experience using common automation testing tools like Playwright, Selenium, or Cypress
• Exposure and understanding of LLMs, Agentic AI Systems and MCP Servers specific to Software testing
• Experience withagentic AI toolslike ACCELQ Autopilot, GitHub Copilot, or other LLM-driven automation agents.
• Basic understanding of Integrating Agentic AI capabilities for autonomous decision making and workflow automation for functional testing
• Experience in API testing tools like Postman, Bruno, RestAssured or similar
• Solid programming skills inJavaScript, Java, or Python
• Familiarity withAI-assisted development tools(e.g., GitHub Copilot or similar) is a plus
• Knowledge of Testing Frameworks and Test Design Patterns like BDD, Page Objects etc.
• Hands-on experience withGitHub or Bitbucketfor version control
• Proficient in SQL and data validation
• Understanding of CI/CD tools and pipelines (Jenkins or similar)
• Exposure toagentic test automation platforms(e.g. ACCELQ) is a strong advantage
• Agile mindset with experience working in Scrum, Kanban, or hybrid teams
• Strong communication and collaboration skills
• Familiarity with observability tools (e.g., Datadog, New Relic, Prometheus) to support post-release validation and quality insights.

Education:

• Bachelors degree in computer science, Engineering, or equivalent professional experience