Test Architect

About the Company Trianz believes that companies around the world face three challenges in their digital transformation journeys - shrinking ‘time to transform’ due to competition & AI, lack of digital-ready talent, and uncertain economic conditions. To help clients leapfrog over these challenges, Trianz has built IP and platforms that have transformed the adoption of the cloud, data, analytics & insights AI. Specifically, the following Trianz platforms are changing the way companies approach transformations in various disciplines: Concierto: A fully automated platform to Migrate, Manage, and Maximize the multi & hybrid cloud. A zero code and SaaS platform, Concierto allows teams to migrate to AWS, Azure and GCP and manage them efficiently from a single pane of glass. Visit for more information. Concierto Insights & Agentic AI: Built on the concept of ‘federated or distributed data’, Extrica revolutionizes how users access data anywhere in the company’s ecosystems; productizes data and makes it available in a Netflix like user experience while delivering BI and AI powered insights. Visit for more. Pulse: Recognizing that workforces will be distributed, mobile, and fluid, Trianz has built a ‘future of work’ digital workplace platform called Pulse. Visit . Since the market launch of this strategy in mid-2023, Trianz has experienced enormous growth, success, and recognition. Some of Trianz’ built IP in data and analytics was acquired by Amazon. Since then, Trianz has been made an engineering partner of Amazon for building/supporting connected ecosystems across multiple AWS platforms. Most recently, Trianz and AWS have signed a strategic collaboration agreement within which the two companies will work on joint roadmaps/solutions for the cloud; AWS will buy Trianz | Concierto in bulk for AWS partners to use for migrations; AWS will also recommend Concierto to their MSPs and finally, AWS Professional Services and Trianz have signed an agreement for joint solutioning and customer delivery. Read more: Trianz enters into a Strategic Collaboration Agreement with AWS to Revolutionize Cloud Adoption and Management (yahoo.com) . Given all this, Trianz is experiencing a significant demand for its SW platforms and consequent growth. To support this growth, Trianz has recently raised private equity capital to scale the company over the next several years (Trianz Announces Strategic Growth Capital Investment by Capital Square Partners (prnewswire.com) ). It is now bolstering its senior and mid-level leadership with top talent across GTM, Engineering, Services, and Partnership organizations. We are seeking leaders driven by our purpose - to help customers accelerate digital transformations and build the next generation software and services organization. About the Role An exceptional Next-Generation Product QA Leader who will pioneer AI-augmented quality engineering , driving innovation, automation, and intelligence in every layer of testing and delivery. Key Requirements Experience: 14–17 years in QA with 8+ years of leadership (managing 10–15+ members). Automation Expertise: 5+ years in Selenium WebDriver , 3+ years in Playwright , with strong framework architecture and hands-on implementation experience. AI Integration: 2+ years working on GenAI integration (GPT-4, Claude, Gemini in testing) and 1+ year in AI Agents/MCP-based autonomous testing with multi-agent orchestration. Programming Skills: Advanced proficiency in Java, Python, JavaScript/TypeScript . API & CI/CD: Expert in API testing (REST Assured, Postman, Playwright API) and CI/CD integration (Jenkins, GitLab, GitHub Actions). Cloud Expertise: 5+ years testing enterprise SaaS and cloud platforms , with deep understanding of AWS, Azure, and GCP architectures. ITSM Knowledge: Familiarity with ITIL concepts, cloud migration, and modernization frameworks. Leadership & Vision: Hands-on technical leader who codes, reviews PRs, and mentors teams daily. Proven ability to transform traditional QA into AI-driven quality engineering practices. Strategic Communication: Strong presenter who can articulate AI-first QA strategies to executives and align cross-functional teams to achieve intelligent automation outcomes.