Live opening · Posted 7 days ago

TEST ARCHITECT L2

Wipro · Hyderabad, Telangana, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyWipro
LocationHyderabad, Telangana, India (Hybrid)
Work modeHybrid
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Job description:
Test Architect L2
Quality Engineering Architecture
Define the overall QE architecture and technical strategy across applications, services, APIs, data platforms, and integrations.
Establish an enterprise-wide test automation architecture and framework strategy.
Define automation standards, reusable components, test patterns, and engineering best practices.
Drive shift-left and continuous testing across the software development lifecycle.
Integrate quality engineering into CI/CD and DevSecOps pipelines.
Define quality gates and automated controls for application releases.
Establish strategies for functional, integration, API, UI, data, regression, and end-to-end testing.
Architect solutions for performance, scalability, resilience, reliability, and security testing.
Define approaches for test data management, environment management, service virtualization, and test observability.
Identify opportunities to leverage AI-assisted testing and intelligent test automation.
PIPL & Privacy-Aware QE
Provide QE expertise for applications handling personal and sensitive information subject to PIPL.
Ensure test strategies and automation frameworks incorporate privacy-by-design principles.
Define compliant approaches for test data generation, masking, anonymization, tokenization, and synthetic data.
Ensure personal information is appropriately protected across test environments, logs, reports, automation frameworks, and test datasets.
Partner with privacy, security, architecture, and compliance teams to translate PIPL requirements into testable technical controls.
Define validation and testing approaches for privacy controls, consent, data access, retention, deletion, and data-transfer scenarios.
PIPL Expertise
Good working knowledge of China PIPL and its implications for software engineering and testing.
Experience with privacy-sensitive test data and data protection controls.
Understanding of data masking, anonymization, pseudonymization, encryption, access controls, and auditability.
Experience working with privacy/security/compliance teams is preferred.
Location - Hyderabad/Bengaluru
Experience - 10+ years
Profile description:
Test Architect L2
Quality Engineering Architecture
Define the overall QE architecture and technical strategy across applications, services, APIs, data platforms, and integrations.
Establish an enterprise-wide test automation architecture and framework strategy.
Define automation standards, reusable components, test patterns, and engineering best practices.
Drive shift-left and continuous testing across the software development lifecycle.
Integrate quality engineering into CI/CD and DevSecOps pipelines.
Define quality gates and automated controls for application releases.
Establish strategies for functional, integration, API, UI, data, regression, and end-to-end testing.
Architect solutions for performance, scalability, resilience, reliability, and security testing.
Define approaches for test data management, environment management, service virtualization, and test observability.
Identify opportunities to leverage AI-assisted testing and intelligent test automation.
PIPL & Privacy-Aware QE
Provide QE expertise for applications handling personal and sensitive information subject to PIPL.
Ensure test strategies and automation frameworks incorporate privacy-by-design principles.
Define compliant approaches for test data generation, masking, anonymization, tokenization, and synthetic data.
Ensure personal information is appropriately protected across test environments, logs, reports, automation frameworks, and test datasets.
Partner with privacy, security, architecture, and compliance teams to translate PIPL requirements into testable technical controls.
Define validation and testing approaches for privacy controls, consent, data access, retention, deletion, and data-transfer scenarios.
PIPL Expertise
Good working knowledge of China PIPL and its implications for software engineering and testing.
Experience with privacy-sensitive test data and data protection controls.
Understanding of data masking, anonymization, pseudonymization, encryption, access controls, and auditability.
Experience working with privacy/security/compliance teams is preferred.
Location - Hyderabad/Bengaluru
Experience - 10+ years

Work arrangement
Hybrid

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