About the role
A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
Job Title: Software Engineer
Locations: Bangalore/Ahmedabad
Reports to: Director, Software Engineering
A quick snapshot…
This role contributes to engineering quality by modernizing testing practices and implementing AI-assisted test automation solutions. Responsibilities include building AI-driven test suites, agentic workflows, and Model Context Protocol (MCP) integrations across web applications (React.js, Next.js). The position exists to execute core technical tasks, ensuring reliable and high-performing test suites alongside Engineering, Product, and DevOps teams.
Why it’s a big deal…
This is a key role that focuses on hands-on delivery—writing clean test automation, using AI-assisted tooling, contributing to framework updates, and delivering reliable test coverage for the product ecosystem.
Are you the person we’re looking for?
Experience. 3 to 5 years of hands-on experience in Software Quality Engineering, with practical expertise writing, running, and maintaining UI (Playwright, Selenium) and API (REST Assured, Postman) automation tests using Java, TypeScript, or JavaScript. Hands-on experience working with test execution hooks like TestNG Listeners and Playwright Custom Reporters/Fixtures.
AI & Intelligent Test Automation. You utilize AI-assisted tools for test generation, debugging, and failure analysis. You help build, integrate, and test custom AI agents, agentic workflows, and Model Context Protocol (MCP) integrations connected with Swagger/OpenAPI, qTest, Jira, and code repositories.
AI Evaluation & Benchmarking. You support LLM and AI agent testing by running evaluations to measure accuracy, latency, and prompt output consistency using pipelines built with frameworks like Ragas, DeepEval, or Promptfoo.