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Posted 23 May, 2026

Senior Automation Engineer

Trianz
Hyderabad, TG, IN Full Time
Reference: 3d4d03062cd633fb

Job Description

Company Overview\n\nTrianz is an applied AI solutions company that accelerates customer business transformation through AI powered \"Transformation Services as a Software Model\" . With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.\nWith global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.\nWe're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.\n\nRole Overview\nTrianz is building Concierto — a next-generation AI-native enterprise platform for cloud transformation. This is not a conventional QA role.

We're looking for a senior QA Engineer who can own the quality engineering layer end-to-end: designing automation frameworks, driving API and functional coverage, and applying AI-augmented practices to a technically complex, cloud-native product.\n\nThis is a high-autonomy role. You will work alongside AI engineers, platform architects, and product teams in a startup-style environment — setting quality standards, not just executing against them.\n\nKey Responsibilities\nAutomation Framework Engineering\nDesign and build scalable E2E automation frameworks using Playwright and/or Selenium\nArchitect reusable component libraries, page object models, and CI/CD-integrated test pipelines\nHandle real-time and streaming data test scenarios inherent to agentic platform workflows\n\nAPI Testing\nOwn API test strategy across REST — functional, schema, contract, and negative testing\nBuild API automation using Postman / Newman , REST Assured, or framework-native patterns\nValidate auth flows (OAuth, JWT), error handling, rate limits, and data integrity across services\n\nFunctional & Regression Quality\nDesign and maintain comprehensive functional and regression suites across enterprise workflows\nApply formal testing techniques — EP, BVA, Decision Tables, State Transition Testing — rigorously\nOwn quality metrics: defect leakage, automation coverage, escape rate, and execution efficiency\n\nAI-Augmented Quality\nUse AI-assisted tools for test generation, coverage analysis, and intelligent defect classification\nValidate AI/LLM outputs — accuracy, determinism, hallucination risk, and failure modes\nContribute to testing conversational and agentic UX workflows within the Concierto platform\n\nCloud Infrastructure Awareness\nNavigate AWS / Azure / GCP environments to configure test infra and diagnose cloud-layer failures\nWork with Docker and Kubernetes for containerised test execution environments\nCollaborate with DevOps teams on CI/CD integration and environment consistency\n\nIdeal Candidate Profile\nExperience\n7–8+ years of QA engineering experience across automation, functional, and API testing\nExposure to cloud-native, SaaS, or AI/ML platform testing environments preferred\n\nAutomation Expertise\nStrong hands-on expertise with Playwright (TypeScript) and/or Selenium — framework design, not just scripting\nExperience building data-driven, parallel, and CI-integrated automation architectures\nStrong understanding of locator strategy, selector stability, and auto-healing patterns\n\nAPI & Functional Testing\nDeep proficiency in API testing — functional, contract, schema validation, and security-adjacent scenarios\nStrong application of formal techniques: EP, BVA, Decision Tables, State Transition\nAbility to design risk-based test strategies and prioritize coverage under time constraints\n\nAI & Cloud Exposure\nExperience testing AI/ML features or LLM-powered interfaces is highly preferred\nFamiliarity with AI-assisted QA tooling — test generation, intelligent test selection, output validation\nWorking knowledge of at least one cloud platform ( AWS, Azure, or GCP ) and container tooling\n\nMindset & Fit\nTreats test code with production-grade engineering standards\nComfortable with ambiguity and fast-moving environments with evolving requirements\nStrong ownership mentality — drives quality outcomes without process hand-holding\nNot suited for highly structured, process-heavy environments with low autonomy\n\nWhy choose Trianz?\nPersonal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.\nAI-First Future: Where humans and AI revolutionize business.

Lead the charge in implementing AI-driven transformation at scale.\nGlobal Impact: Shape transformation across continents. Work with diverse teams and customers spanning Americas, Europe, Asia, and beyond.\nExecutive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.\nOwnership & Entrepreneurial Spirit: Your ideas, our platform, global impact.

Zero bureaucracy culture with decision-making autonomy and rapid execution.\n\nEqual Employment Opportunity\nTrianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veterans (except in those special circumstances permitted or mandated by law).

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