Solutions Architect – QA

1 day ago

Pune office Standard Pune India APAC Hybrid Maharashtra NewVision Full time ₹ 12,00,000 - ₹ 36,00,000 per year

About the Role

We are looking for an experienced Solutions Architect – QA to design and implement scalable automation strategies that enable high-quality software delivery. This role is ideal for a seasoned QA professional with deep expertise in automation, proven experience building frameworks, and a forward-looking mindset toward AI-driven testing solutions.

The Solutions Architect – QA will serve as a technical leader, responsible for driving test automation initiatives, setting best practices, and mentoring teams in building robust and efficient testing frameworks.

Key Responsibilities

  • Design and architect end-to-end automation solutions covering UI, API, data, and cloud-based systems.
  • Build and maintain scalable automation frameworks leveraging design patterns and best practices.
  • Evaluate, implement, and optimize licensed and open-source automation tools to meet business needs.
  • Collaborate with Development, QA, and DevOps teams to integrate automation into CI/CD pipelines.
  • Drive AI/ML-based solutions to enhance testing efficiency (e.g., intelligent test generation, self-healing automation, predictive defect detection).
  • Define QA automation standards and governance to ensure consistency across projects.
  • Mentor and guide QA engineers in advanced automation practices and solution design.
  • Act as a trusted advisor to stakeholders on QA strategy, tooling, and innovation.

Required Skills & Experience

  • 8+ years of hands-on experience in test automation across UI and API layers.
  • Strong knowledge of multiple automation tools (e.g., Selenium, Playwright, Cypress, REST Assured, Tosca, UFT, TestComplete, etc.).
  • Proven expertise in developing automation frameworks and applying design patterns (POM, Singleton, Factory, etc.).
  • Proficiency in at least one programming language: Java, , Python, or C#.
  • Strong understanding of CI/CD pipelines and integration with automation (Jenkins, Azure DevOps, GitHub Actions, GitLab).
  • Experience in cloud ecosystems (Azure, AWS, GCP) for automation integration.
  • Exposure to AI-based automation approaches (self-healing, NLP-driven test generation, etc.) is a significant advantage.
  • Excellent communication and technical leadership skills with the ability to influence QA strategy across teams.

Added Advantage (not mandatory but highly valued).

  • Experience with Front-End and Back-End development 
  • Hands-on with performance testing tools (e.g., JMeter, LoadRunner, Gatling).
  • Familiarity with test data management and service virtualization.
  • Exposure to containerization and orchestration (Docker, Kubernetes).
  • Knowledge of DevOps and shift-left testing practices.

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