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EPAM Systems • Bengaluru, Karnataka, India
Role & seniority: Solution Architect – Test Automation; senior/lead-level with 14+ years of experience; proven technical leadership in architecture engagements.
Stack/tools: Java, C#, Python, or JavaScript/TypeScript (hands-on coding); web and API automation; test runners and frameworks; design patterns; microservices; testing across functional, integration, regression, and performance; knowledge of quality gates and architecture reviews.
Design large-scale, maintainable, extensible test automation solutions and frameworks with deep technical detail.
Define and drive comprehensive test automation strategy (roadmap, tools, approaches) and monitor quality metrics; lead continuous improvement.
Engage with business stakeholders and clients (pre-sales via RFPs, solution design, architecture reviews) to ensure successful deployment and compliance.
14+ years of overall experience with quality architecture and test automation
Leadership of technical teams and architecture engagements
Designing/implementing test automation frameworks from scratch
Proficiency in Java, C#, Python, or JavaScript/TypeScript
Deep web/API automation knowledge, testing strategies, test runners
Experience with architectural/design patterns, clean coding, quality gates
Ability to estimate/manage testing efforts; microservices testing practices
Strong code review skills and maintenance of testing artefacts
Pr
We are seeking a Solution Architect specializing in Test Automation to lead and design large-scale, maintainable, and extensible automation frameworks and solutions. You will collaborate closely with business stakeholders to define strategies and drive continuous improvement in testing processes. Join us to shape the future of quality architecture and automation at our organization. Responsibilities Design large-scale test automation solutions with deep technical details Work closely with business teams to identify and understand project requirements Design test automation frameworks that are maintainable, extensible, and modular following industry best practices Create and maintain shared test automation frameworks and solutions for use across multiple projects and programs Define and implement comprehensive test automation strategies including roadmap, tools, frameworks, and approaches Evaluate and select appropriate test automation tools for various purposes Monitor and report on key quality metrics such as defect density, test coverage, and release cycle times Oversee manual and automated testing efforts covering functional, integration, regression, and performance testing Drive continuous improvement initiatives in test processes, tools, and techniques to support digital transformation Perform architecture reviews and audits to ensure quality and compliance Establish project necessities and goals to achieve successful solution deployment Participate in full-cycle pre-sales activities including RFP processing Communicate directly with clients during solution architecture design and implementation Maintain up-to-date knowledge of industry trends and best practices Provide leadership and proactive engagement in architecture activities Requirements Overall experience of 14+ years with exprosure to quality architecture and test automation Proven leadership skills in guiding technical teams and architecture engagements Strong background in designing and implementing test automation frameworks from scratch Proficiency in hands-on coding using Java, C#, Python, or JavaScript/TypeScript Deep knowledge of web and API automation, testing strategies, and test runners Experience with architectural and design patterns, clean coding principles, and quality gates Ability to estimate and manage firefighting and testing efforts effectively Experience with microservices architecture and best practices for building test automation frameworks Excellent skills in code reviews and maintaining testing artefacts Strong technical consulting and solution designing capabilities Experience in pre-sales activities and client communications Nice to have Experience with AI implementation and GenAI tools Knowledge of Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) Familiarity with agents and multi-cloud platforms (MCPs)