Senior Software Engineer, Test

Overview

As a Senior Software Engineer in Test on the WEM Recording Team, you will design and implement test strategies for new features on the Genesys Cloud Platform. You will lead holistic quality engineering across manual, automated, accessibility, security, scalability and AI-augmented testing in collaboration with Product Management, Development, UX and Documentation.

What you'll do

• Collaborate with PMs and Developers to understand intent, scope and roadmap.
• Review designs and architectures, applying AI-assisted risk analysis to anticipate gaps.
• Define test plans and strategies that include AI-generated test coverage suggestions.
• Design and implement automated tests for APIs and UIs, incorporating AI-assisted refactoring.
• Lead exploratory testing and bug hunts, using GenAI to highlight edge cases and user perspectives.
• Maintain and improve pipelines, applying AI-driven triage tools to speed defect analysis.
• Mentor junior engineers, modeling how to balance traditional techniques with AI-augmented workflows.
• Innovate with AI tooling to accelerate QA workflows in feature delivery and maintain long-term test stability.

What you'll need

• 5+ years in software testing or data engineering for large-scale systems.
• Experience with Java or similar.
• Experience with Jenkins.
• Experience with Selenium/Playwright.
• Experience with TestNG/JUnit.
• Experience with REST APIs.
• Experience with Git.
• Experience with cloud platforms.
• Strong technical and communication skills to collaborate across global teams.
• Ability to evaluate risks, guide design trade-offs and implement robust automation frameworks.
• A mindset of mentorship and continuous learning, helping the team reframe AI not as a replacement but as an amplifier of productivity and creativity.

Nice to have

• AWS experience is preferred.
• Familiarity with observability tools such as Sumo Logic, New Relic, etc.
• Practical experience with AI tools for testing, debugging or quality analysis.
• Proficient in leveraging AI-assisted development tools such as GitHub Copilot and Claude Code to accelerate coding, debugging and code review, while maintaining strong judgment and accountability.
• Experience introducing AI tools into workflows, for example using LLMs to generate test cases from requirements, debug failed builds faster or explore alternative test strategies.

Details

• Location: Chennai.
• Working arrangement: Flexible.