Back
Senior, niche AI+QA and support skills reduce applicant pool, though Bangalore metro slightly increases competition.
Role requires deep QA, AI-eval, and cybersecurity support expertise, limiting cross-industry transferability.
Explicit 10+ years, 5+ years leadership, and mandatory AI/automation tech stack create high filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end QA strategy across CloudSEK's AI-driven cybersecurity platform, driving automation and quality metrics under continuous delivery.
Lead technical product support (L1-L3) with responsibility for SLAs, incident response, and building a geographically distributed, English-first support team covering India and UK/US hours.
Implement QA practices for AI/LLM-based products including evaluation frameworks, hallucination checks, retrieval quality, and product safety, integrating support feedback into regression sets and quality bars.
10+ years in QA/Quality Engineering/technical support engineering for B2B SaaS; cybersecurity domain experience is a plus but not mandatory.
5+ years of people leadership with teams of 10+ including managers or senior individual contributors.
Hands-on experience with Python, Playwright, Pytest, REST/API automation, and CI/CD tools like GitHub Actions or Jenkins.
Experience testing AI/LLM products including evaluations, retrieval-augmented generation, agent workflows, and observability tools; Bangalore-based with fluent English communication.
Experienced leader who can simultaneously raise QA standards and scale a technical product support function across multiple time zones and cultures.
Technically fluent in both classical software QA automation and advanced AI/LLM evaluation frameworks to ensure robust quality gates and rapid incidents resolution.
Comfortable operating in a high-ownership, start-up environment with close partnership across engineering, product, and customer success teams.