Key Skills:
7–10 years of experience in software engineering.
Robust experience in software automation with expertise in ONE of the following:
o UI Automation – Selenium, Playwright, or similar using Java/JavaScript.
o Performance Engineering – JMeter, LoadRunner, or similar.
Hands-on experience applying AI across the software engineering lifecycle, including requirement analysis, scenario generation, automation development, code generation, data generation, impact analysis, defect analysis, and engineering insights.
Experience identifying engineering use cases for AI and developing AI agents/workflows to improve productivity and efficiency.
Valuable understanding of Agile, CI/CD, DevOps, and up-to-date engineering practices.
Strong analytical, debugging, and problem-solving skills.
Key Responsibilities:
Identify opportunities to leverage AI across engineering workflows.
Design, develop, and implement AI-driven solutions to improve engineering productivity and software delivery.
Build AI agents and reusable workflows for engineering use cases.
Develop and maintain automation solutions or performance engineering assets based on areas of specialization.
Collaborate with Product, Development, Platform, and Engineering teams to drive AI adoption.
Evaluate emerging AI technologies and recommend practical solutions.
Mentor engineers and promote AI-first engineering practices across teams.