{"id":4172289,"url":"https://alion.io/job/dyad-lead-qa-automation-engineer","title":"Lead QA Automation Engineer","company":{"id":2263593,"name":"Dyad","domain":"dyadtech.com","url":"https://alion.io/company/dyadtech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"QA","role_family":"QA","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cucumber","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"JUnit","optional":false},{"name":"Kubernetes","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"TestNG","optional":false},{"name":"TypeScript","optional":false},{"name":"Jira","optional":true},{"name":"JMeter","optional":true},{"name":"LLM","optional":true},{"name":"Self-Healing","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-12T13:55:46Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T15:04:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Dyad:\nDyad is a leading insurance technology company with over 20 years of experience delivering solutions across the property and casualty insurance ecosystem. We support carriers, MGAs, wholesalers, and agencies with platforms that streamline underwriting, policy administration, connectivity, and operations. At Dyad, we focus on enabling scalable growth through modern, product-driven insurance technology.\nAbout Role\nWe are seeking a Lead QA Automation Engineer with 8 to 12 years of experience to own test automation across our QA organization. This is a hands-on leadership role: you will build and maintain automation frameworks, define the architecture and best practices followed by all QA teams, and lead a team of automation engineers.\nYou will also own the test environments, using DevOps fundamentals such as Docker, Kubernetes, and CI/CD to enable reliable, continuous testing, and help lay the foundation for AI-driven and probabilistic QA automation as our products evolve.\nKey Responsibilities:\nOwn the automation strategy, architecture, and roadmap across Dyad products, in partnership with QA leadership and aligned with engineering and business priorities.\nDesign, build, and maintain scalable, reusable automation frameworks covering UI, API, integration, and end-to-end testing.\nStay hands-on while owning architecture, governance, and team leadership: build core framework components, write and review production-grade code, and set the technical bar by example.\nLead, mentor, and coach a team of automation engineers, including work allocation, code reviews, and performance feedback.\nDefine and mandate automation standards, framework usage, and best practices across all QA teams, with formal authority to enforce adoption, supported by training, onboarding, and documentation.\nAct as the technical authority for automation, approving or rejecting approaches, tools, and framework changes proposed by any team, and run periodic compliance reviews that report adoption and deviations to QA leadership.\nBuild an automation culture among manual and hybrid QA engineers, helping them grow their scripting and automation skills.\nDrive an automation-first approach: identify automation candidates, reduce manual regression effort, and clear the automation backlog.\nIntegrate automation into CI/CD pipelines to enable continuous testing, quality gates, and fast feedback.\nOwn test environments, including setup, configuration, stability, and test data, using containerized and cloud-based approaches.\nAnalyze failures, flakiness, and execution trends to improve stability, coverage, and execution time, and track automation metrics and dashboards for leadership.\nCollaborate with developers, QA leads, product owners, business analysts, and DevOps teams to embed quality across the SDLC.\nEvaluate and introduce new tools and AI-enabled practices, and lay the foundation for AI-driven and probabilistic QA automation, including validation of AI-enabled features and AI-assisted test generation.\nRequired Skills & Expertise\n8 to 12 years of experience in software testing and test automation, with at least 2 years leading automation work while remaining hands-on in coding.\nProven experience designing and building automation frameworks from scratch, writing clean, production-grade code, and reviewing the code of others.\nStrong hands-on expertise in Playwright, Selenium, or equivalent UI automation tools, and in API automation (Postman, REST Assured, Pytest/Requests, or equivalent).\nStrong programming skills in Java, Python, or TypeScript/JavaScript, with solid test design patterns and clean code practices.\nExperience with TestNG, JUnit, Pytest, and BDD tooling such as Cucumber.\nWorking knowledge of DevOps fundamentals: CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps), Docker, and Kubernetes.\nHands-on experience managing test environments and test data, with good working knowledge of Git, SQL, and cloud platforms (AWS, Azure, or GCP).\nStrong debugging and root cause analysis skills, including diagnosing flaky tests.\nExperience defining and enforcing automation standards and framework adoption across a large QA organization, balancing mandate with stakeholder buy-in across teams without direct reporting lines.\nAbility to make architecture decisions that serve multiple products and teams, balancing standardization with project-specific needs.\nStrong leadership, coaching, and communication skills to mentor engineers of varied automation maturity in an Agile delivery setup.\nApplied understanding of AI concepts and professional use of AI tools such as Claude, Copilot, ChatGPT, or Gemini.\nPreferred Qualifications\nExperience testing AI/ML or LLM-based features, including probabilistic output validation, and exposure to AI-assisted test generation, self-healing automation, or agentic QA.\nExperience building shared libraries, reusable framework components, or an automation community of practice used by multiple teams.\nExperience with performance testing tools such as JMeter or equivalent.\nExperience with infrastructure as code (Terraform or similar) and observability tools for test environments.\nExperience with execution dashboards, quality metrics reporting, and tools such as Jira and Zephyr.\nExposure to DevSecOps and security testing basics in pipelines.\nExperience in the insurance, financial, or enterprise SaaS domain.\nPrior experience building or scaling an automation team or Center of Excellence.\nContact info : 09925022554 (10 am - 7.30 pm) Monday to Friday\nE-mail : \nWebsite : www.dyadtech.com\nAddress : Dyad Tech Pvt. Ltd (Formerly known I-Engineering Software Pvt. Ltd.)\n4th Floor, President Plaza, Opp. Titanium Square, Thaltej Cross Road,\nS.G. 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