Join NTT DATA as a Software Development Specialist Advisor and drive the future of API modernization and microservices transformation within the healthcare industry. This role offers a unique opportunity to shape quality engineering strategies and implement cutting-edge solutions for enterprise-scale projects.

We are seeking an experienced leader to define the end-to-end API testing architecture and validation strategy for transforming legacy platforms into modern RESTful APIs and microservices. Your expertise will be crucial in ensuring these modernized services meet stringent functional, integration, data integrity, performance, and security requirements.

This customer-facing role requires deep knowledge in API testing, automation architecture, microservices, CI/CD integration, healthcare data validation, and AI-assisted Quality Engineering. You will collaborate closely with cross-functional teams to deliver robust and innovative solutions.

Define and implement the enterprise API Quality Engineering architecture, strategy, and roadmap for modernization programs. Design scalable and reusable API automation frameworks and establish standardized testing approaches. Build reusable automation components and utilities, ensuring traceability across requirements, test assets, and execution results.

Lead the testing strategy for migrating legacy services to REST APIs and microservices, including defining legacy-versus-modernized service parity testing. Design automated comparison capabilities for request/response validation, schema validation, and business-rule validation. Validate service decomposition and interactions across distributed microservices, and define regression strategies for continuous verification.

Drive comprehensive API testing coverage, including functional, integration, contract, and regression testing. Establish API test scenarios based on specifications and business requirements. Integrate API automation into CI/CD pipelines, define automated quality gates, and enable continuous testing.

Champion the adoption of AI-assisted engineering tools like GitHub Copilot to enhance test scenario generation, automation development, and failure analysis. Act as the technical solution lead, engaging with customer stakeholders to understand objectives and translate requirements into actionable testing architectures and roadmaps. Mentor automation engineers and QA leads, identifying and mitigating testing risks early in the lifecycle.

A minimum of 13 years of overall experience in Quality Engineering, testing, or software engineering is required, with at least 7 years focused on strong API testing and automation. You should also have 5+ years in a Test Architect, Solution Architect, or equivalent technical leadership role.

Essential technical skills include expertise in API & Microservices (REST APIs, Microservices Architecture, JSON, XML, OpenAPI/Swagger, GraphQL), API Automation (REST Assured, Cucumber BDD, TestNG, Java, Gradle), and Framework Architecture (reusable automation framework design, schema validation, response comparison). Proficiency in DevOps tools (Jenkins, Git, Bitbucket, CI/CD) and various testing methodologies (API functional testing, integration testing, data validation, negative testing) is also crucial.

Candidates must possess a strong understanding of healthcare enterprise systems, with preferred experience in claims, member, provider, eligibility, benefits, authorization, or payments. Familiarity with AI-Assisted Engineering tools like GitHub Copilot for test analysis and generation is highly desirable. Experience leading complex API modernization programs is strongly preferred.