Sr Quality Engineer

Here in HMH, Quality Engineering is a core function within all our autonomous Agile teams. We have a highly collaborative, continuous delivery culture. All teammates contribute to the quality of the product and take responsibility for the build pipeline to production (DevOps) and you will too. We are atechnology-forward companywith a growing focus onAgentic AI, systems that can reason, plan and act autonomously to support engineering workflows. HMH is actively integratingagentic testing and development tools, includingACCELQ Autopilotfor autonomous quality validation andCodex/GitHub Copilot coding agentsto accelerate test development and coverage.This role strikes the right balance between traditional QE skills and the future of automation enhanced by AI-powered tools and frameworks.

Responsibilities

• Collaborate with developers, UI/UX, and architecture teams in an Agile environment to ensure delivery of high-quality software.
• Design, develop, and maintain scalable test automation frameworks (using JavaScript, Java, Python, etc.).
• Drive implementation ofagent-assistedtestcase generation and autonomous quality validation using platforms likeAutogen n8n, ACCELQ Autopilot.
• LeverageGitHub Copilot/Codexto accelerate script creation, improve test coverage, and reduce development cycle time.
• Perform comprehensive testing of functional and non-functional aspects, including APIs, UI, performance, and security.
• Lead and advocate for quality across the SDLC, proactively mentoring teammates and promoting a test-first mindset.
• Contribute to CI/CD pipelines using tools such as Jenkins, Concourse, or GitHub Actions.
• Collaborate on quality strategy in a fast-paced DevOps-centric environment, focusing on release stability and velocity.
• Evaluate and experiment with emerging automation and AI tools to continuously evolve QE capabilities.

Skills & Experience:

• 6-10 years of experience in manual and automated testing across various platforms.
• Strong understanding of QA processes including test plan preparation, Testcase development and execution
• 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 building test strategies and optimizing test coverage using AI-driven insights.
• Proficient in developing and maintaining test automation (Java, JavaScript, Python, or similar).
• Solid knowledge of quality engineering methodologies, including risk-based testing, exploratory testing, and structured test design.
• Experience with SQL and relational database testing.
• Strong background in testing microservices, REST APIs, and web-based UIs.
• Working knowledge of source control tools (GitHub, Bitbucket) and CI/CD systems.
• Hands-on experience with containerization and microservice architectures (Docker, Kubernetes).
• Strong problem-solving mindset, excellent time management, and adaptability.
• Familiarity with contract testing (Pactflow), A11Y Testing, BrowserStack, or cloud-based quality platforms.
• 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