Job description
Test Architect L2 Ideal Candidate The ideal candidate is primarily a strong QE Architect, not a compliance specialist. They should be capable of defining the QE technology architecture, automation strategy, engineering standards, and implementation roadmap, while having sufficient GDPR and data-privacy expertise to ensure the QE ecosystem and Required Experience
• 15+ years of experience in Quality Engineering, Test Architecture, Automation Architecture, or Software Engineering.
• Strong experience as a QE Architect / Test Architect / Automation Architect on large-scale enterprise programs.
• Proven experience designing enterprise test automation frameworks and QE solutions.
• Strong understanding of modern software architecture, APIs, microservices, cloud, databases, and distributed systems.
• Strong experience with CI/CD, DevOps, continuous testing, and shift-left quality.
• Hands-on understanding of automation frameworks and programming/scripting languages.
• Experience designing API, UI, integration, data, performance, and end-to-end automation.
• Strong knowledge of non-functional testing, including performance, scalability, resilience, and reliability.
• Experience with test data management and setting virtualization.
• Strong understanding of quality engineering metrics, governance, and engineering best practices. GDPR Expertise
• Good working knowledge of GDPR and its implications for software engineering, Quality Engineering, and testing.
• Experience with privacy-sensitive test data and data-protection controls.
• Understanding of data masking, anonymization, pseudonymization, encryption, access controls, data minimization, and auditability.
• Understanding of GDPR-related areas such as lawful processing, consent management, data-subject rights, retention and erasure, and cross-border data transfers.




• Experience working with privacy/security/compliance teams is preferred. Preferred Skills
• Experience with cloud-native and distributed architectures.
• Experience with Selenium/Playwright/Cypress or equivalent UI automation technologies.
• Experience with API automation tools/frameworks.
• Experience with performance engineering tools such as JMeter, Gatling, or equivalent.
• Experience integrating automated testing into Jenkins, GitLab, Azure DevOps, GitHub Actions, or similar platforms.
• Knowledge of containers, Kubernetes, observability, and modern DevOps practices.
• Experience with AI/GenAI-enabled QE and test automation is a plus.
• Experience in regulated industries or global enterprise environments is desirable. Location
- Hyderabad/Bengaluru Profile description: Ideal Candidate The ideal candidate is primarily a strong QE Architect, not a compliance specialist. They should be capable of defining the QE technology architecture, automation strategy, engineering standards, and implementation roadmap, while having sufficient GDPR and data-privacy expertise to ensure the QE ecosystem and Required Experience
• 15+ years of experience in Quality Engineering, Test Architecture, Automation Architecture, or Software Engineering.
• Strong experience as a QE Architect / Test Architect / Automation Architect on large-scale enterprise programs.
• Proven experience designing enterprise test automation frameworks and QE solutions.
• Strong understanding of modern software architecture, APIs, microservices, cloud, databases, and distributed systems.




• Strong experience with CI/CD, DevOps, continuous testing, and shift-left quality.
• Hands-on understanding of automation frameworks and programming/scripting languages.
• Experience designing API, UI, integration, data, performance, and end-to-end automation.
• Strong knowledge of non-functional testing, including performance, scalability, resilience, and reliability.
• Experience with test data management and environment virtualization.
• Strong understanding of quality engineering metrics, governance, and engineering best practices. GDPR Expertise
• Good working knowledge of GDPR and its implications for software engineering, Quality Engineering, and testing.
• Experience with privacy-sensitive test data and data-protection controls.
• Understanding of data masking, anonymization, pseudonymization, encryption, access controls, data minimization, and auditability.
• Understanding of GDPR-related areas such as lawful processing, consent management, data-subject rights, retention and erasure, and cross-border data transfers.
• Experience working with privacy/security/compliance teams is preferred. Preferred Skills
• Experience with cloud-native and distributed architectures.
• Experience with Selenium/Playwright/Cypress or equivalent UI automation technologies.
• Experience with API automation tools/frameworks.
• Experience with performance engineering tools such as JMeter, Gatling, or equivalent.
• Experience integrating automated testing into Jenkins, GitLab, Azure DevOps, GitHub Actions, or similar platforms.
• Knowledge of containers, Kubernetes, observability, and modern DevOps practices.
• Experience with AI/GenAI-enabled QE and test automation is a plus.
• Experience in regulated industries or global enterprise environments is desirable. Location
- Hyderabad/Bengaluru

📌 QE Architect (Hyderabad)
🏢 Wipro
📍 Hyderabad