Lead QA Automation Engineer

About Dyad:

Dyad 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.

About Role

We 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.

You 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.

Key Responsibilities:

• Own the automation strategy, architecture, and roadmap across Dyad products, in partnership with QA leadership and aligned with engineering and business priorities.
• Design, build, and maintain scalable, reusable automation frameworks covering UI, API, integration, and end-to-end testing.
• Stay 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.
• Lead, mentor, and coach a team of automation engineers, including work allocation, code reviews, and performance feedback.
• Define 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.
• Act 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.
• Build an automation culture among manual and hybrid QA engineers, helping them grow their scripting and automation skills.
• Drive an automation-first approach: identify automation candidates, reduce manual regression effort, and clear the automation backlog.
• Integrate automation into CI/CD pipelines to enable continuous testing, quality gates, and fast feedback.
• Own test environments, including setup, configuration, stability, and test data, using containerized and cloud-based approaches.
• Analyze failures, flakiness, and execution trends to improve stability, coverage, and execution time, and track automation metrics and dashboards for leadership.
• Collaborate with developers, QA leads, product owners, business analysts, and DevOps teams to embed quality across the SDLC.
• Evaluate 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.

Required Skills & Expertise

• 8 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.
• Proven experience designing and building automation frameworks from scratch, writing clean, production-grade code, and reviewing the code of others.
• Strong hands-on expertise in Playwright, Selenium, or equivalent UI automation tools, and in API automation (Postman, REST Assured, Pytest/Requests, or equivalent).
• Strong programming skills in Java, Python, or TypeScript/JavaScript, with solid test design patterns and clean code practices.
• Experience with TestNG, JUnit, Pytest, and BDD tooling such as Cucumber.
• Working knowledge of DevOps fundamentals: CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps), Docker, and Kubernetes.
• Hands-on experience managing test environments and test data, with good working knowledge of Git, SQL, and cloud platforms (AWS, Azure, or GCP).
• Strong debugging and root cause analysis skills, including diagnosing flaky tests.
• Experience 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.
• Ability to make architecture decisions that serve multiple products and teams, balancing standardization with project-specific needs.
• Strong leadership, coaching, and communication skills to mentor engineers of varied automation maturity in an Agile delivery setup.
• Applied understanding of AI concepts and professional use of AI tools such as Claude, Copilot, ChatGPT, or Gemini.

Preferred Qualifications

• Experience testing AI/ML or LLM-based features, including probabilistic output validation, and exposure to AI-assisted test generation, self-healing automation, or agentic QA.
• Experience building shared libraries, reusable framework components, or an automation community of practice used by multiple teams.
• Experience with performance testing tools such as JMeter or equivalent.
• Experience with infrastructure as code (Terraform or similar) and observability tools for test environments.
• Experience with execution dashboards, quality metrics reporting, and tools such as Jira and Zephyr.
• Exposure to DevSecOps and security testing basics in pipelines.
• Experience in the insurance, financial, or enterprise SaaS domain.
• Prior experience building or scaling an automation team or Center of Excellence.

Contact info : 09925022554 (10 am - 7.30 pm) Monday to Friday

E-mail : [email protected]

Website : www.dyadtech.com

Address : Dyad Tech Pvt. Ltd (Formerly known I-Engineering Software Pvt. Ltd.)

4th Floor, President Plaza, Opp. Titanium Square, Thaltej Cross Road,

S.G. Highway, Ahmedabad-380054