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 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

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.




- Solid 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 workplace 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 (GDPR) (Hyderabad)
🏢 Wipro
📍 Hyderabad