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Tier-1 brand and Bangalore metro presence increase applicant density, though senior specialization moderates competition.
Enterprise QE automation and AI-tooling focus favors candidates with enterprise app domain experience, yet skills remain moderately transferable.
Requires 8+ years, lead-level experience, and mandatory automation, CI/CD, and AI-tooling expertise.
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Lead design and execution of complex end-to-end automation strategies across multiple enterprise platforms including Salesforce (GTM), SAP (Finance), and custom microservices for Licensing and Entitlement Management.
Architect and evolve an AI-first Software Development Life Cycle (SDLC) platform integrating intelligent agents and automated reasoning for code generation, testing, and deployment pipelines.
Drive technical leadership by building self-healing automation frameworks, integrating CI/CD pipelines, setting code standards, and mentoring QE engineers in AI-assisted development workflows.
8+ years professional experience in software engineering, test automation, or DevOps roles.
2+ years experience in a Lead or Staff engineering role with demonstrated technical leadership and architectural decision-making.
Expertise in programming languages such as Python, Java, or JavaScript along with deep automation framework design experience using tools like Playwright, Selenium, Cypress, RestAssured, Karate, or PyTest.
Proficient with CI/CD tools (GitHub Actions, GitLab CI, Jenkins) and version control (Git) at scale; experience with AI-assisted development tools (e.g., GitHub Copilot) is mandatory.
Experience with enterprise applications especially Salesforce (GTM), SAP (Finance), and high-throughput custom microservices for licensing systems.
Strong strategic ability to bridge cross-domain automation gaps and build scalable AI-augmented testing infrastructures with a high degree of technical autonomy.
Track record of influencing change through AI-tool adoption and mentoring teams on AI-driven development and testing practices in complex, cross-functional enterprise environments.