QA Automation Solution Architect

DESCRIPTION: QA Automation Solution ArchitectJob ResponsibilitiesMinimum 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and servicesLeads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teamsProvides automation expertise, training and coaching to team membersDetermines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for ITDeliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CDDesign and architect modular and reusable automated testing solutions that satisfy client requirementsResearch, evaluation, and deployment of new test toolsTrains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipelineIdentifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterpriseBe familiar with various automated tests tools for both front end and back end testingAbility to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processesAbility to assess functional and technical gaps in designsSupport continuous improvement processes, analyzing problems and recommending actions for effective resolutionAbility to adapt to a fast paced continually changing business and work environment while managing multiple prioritiesDesign, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation.Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers.Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards.Promote automation best practices and continuous quality engineering across Agile development teams.Required Technical SkillsPlaywright with TypeScript (Strong TypeScript coding experience)BDD automation using CucumberStrong experience with .NET Core / .NET Framework applicationsAPI automation using Rest Assured or RestSharpMobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus.Strong software engineering background with 5–7 years of experience.Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use.Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms.Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector DatabaseExperience working with Spec-Driven Development methodologies.Hands-on experience with APIs, microservices, and modern application architectures.Professional SkillsStrong problem-solving and analytical capabilities.Customer-facing communication and consulting skills.Ability to work independently in fast-paced environments.Experience collaborating with cross-functional and distributed teams.Strong ownership mindset with a focus on measurable business outcomes.Preferred QualificationsExperience in Banking & Financial Services (BFS) domain.Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.Understanding of cloud-native architectures and platform engineering.