{"id":3978741,"url":"https://alion.io/job/ntt-data-testing-engineering-senior-specialist","title":"Testing Engineering Senior Specialist","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":93,"open_postings":105,"ghost_share":0,"stale_share":0.486,"repost_share":0.019,"time_to_fill_p50_days":18,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":13,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Bitbucket","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot","optional":true},{"name":"Cucumber","optional":true},{"name":"FHIR","optional":true},{"name":"Git","optional":true},{"name":"Gradle","optional":true},{"name":"GraphQL","optional":true},{"name":"HL7","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Rest API","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Shift-Left Security","optional":true},{"name":"Swagger","optional":true},{"name":"Synthetic Data","optional":true},{"name":"TestNG","optional":true}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T19:00:58Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Req ID: 386519\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Testing Engineering Senior Specialist to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).\nCoding Language - Java Primary, Python Good to have\nAPI & Microservices: REST APIs, RESTful services, Microservices Architecture, JSON, XML, OpenAPI/Swagger, GraphQL, API contracts, service integration patterns\nAPI Automation: REST Assured, Cucumber BDD, TestNG, Java, Gradle\nFramework Architecture: Reusable automation framework design, modular architecture, custom assertion utilities, schema validation, response comparison, test-data management\nDevOps: Jenkins, Udeploy, Git, Bitbucket, CI/CD integration, continuous testing\nTesting: API functional testing, integration testing, contract testing, regression testing, legacy-to-modern API parity testing, data validation, negative testing\nReporting: Cucumber Reports, JSON/HTML reporting, execution logs and CI/CD quality reporting\nAI-Assisted Engineering: GitHub Copilot, AI-assisted test analysis, scenario generation, Gherkin generation, automation development and coverage analysis\nHealthcare: Strong understanding of healthcare enterprise systems and preferably experience with claims, member, provider, eligibility, benefits, authorization, payments, or healthcare interoperability services.\nExperience\n13+ years of overall experience in Quality Engineering, testing, software engineering, or related disciplines.\n7+ years of strong API testing and automation experience.\n5+ years in a Test Architect, Solution Architect, QE Architect, Technical Lead, or equivalent technical leadership role.\nJob Description - API Test Architect & Test Solution Lead\nAPI Modernization | Microservices | Healthcare | Quality Engineering\nRole Overview\nWe are seeking an experienced API Test Architect & Solution Lead to lead the quality engineering strategy, architecture, and implementation for large-scale API modernization and microservices transformation programs within the healthcare domain.\nThe role will be responsible for defining the end-to-end API testing architecture and modernization validation strategy for enterprise services being transformed from legacy/monolithic platforms into modern RESTful APIs and microservices.\nThis is a customer-facing technical leadership role requiring strong expertise in API testing, test automation architecture, microservices, legacy-to-modern API parity validation, CI/CD integration, healthcare data validation, and AI-assisted Quality Engineering.\nThe Solution Lead will work closely with enterprise architects, API developers, product owners, business teams, DevOps teams, and QA engineering teams to ensure modernized services meet functional, integration, data integrity, performance, security, and release-readiness requirements.\nKey Responsibilities\nAPI Test Architecture & Solutioning\nDefine the enterprise API Quality Engineering architecture, strategy, standards, and implementation roadmap for API modernization programs.\nDesign scalable and reusable API automation frameworks supporting hundreds of APIs and thousands of test scenarios.\nEstablish standardized testing approaches using Cucumber, TestNG, REST Assured, Gradle, Git/Bitbucket, Jenkins/Udeploy, and automated reporting.\nDefine framework architecture with clear separation of:\nTest data\nTest logic\nConfiguration\nValidation utilities\nReporting\nEnvironment management\nBuild reusable automation components, utilities, libraries, and common validation capabilities that can be adopted across multiple projects.\nEstablish traceability across requirements → feature files → test data → automated execution → defects → results.\nAPI Modernization & Microservices Validation\nLead testing strategy for migration of legacy enterprise services to REST APIs and microservices architecture.\nDefine legacy-versus-modernized service parity testing to ensure business functionality and data behavior remain consistent during modernization.\nEstablish baseline request/response datasets from legacy services and compare them against modernized API responses.\nDesign automated comparison capabilities for:\nRequest/response validation\nJSON/XML payload comparison\nSchema validation\nField-level comparison\nBusiness-rule validation\nData transformation validation\nDatabase/backend validation\nError and exception handling\nValidate service decomposition and interactions across distributed microservices.\nDevelop testing approaches for synchronous and asynchronous service integrations.\nDefine regression strategies that allow modernization teams to continuously verify functional parity during incremental migration.\nAPI Functional & Integration Testing\nDefine comprehensive API testing coverage including:\nFunctional testing\nIntegration testing\nContract testing\nSchema validation\nPositive and negative testing\nBoundary testing\nAuthentication and authorization validation\nError handling\nData integrity validation\nRegression testing\nEnd-to-end service validation\nEstablish API test scenarios based on OpenAPI/Swagger specifications, GraphQL schemas, interface contracts, business requirements, and legacy system documentation.\nDefine reusable test-data strategies using Excel, generated datasets, synthetic data, and approved production-like samples.\nDrive automation-first testing while identifying scenarios requiring specialized or exploratory validation.\nHealthcare Domain Validation\nProvide Quality Engineering leadership for healthcare enterprise services supporting areas such as:\nMember and eligibility\nProvider\nClaims\nBenefits\nEnrollment\nAccumulators\nAuthorization\nPayments\nClinical and administrative integrations\nEnsure modernization testing validates critical healthcare business rules and cross-system data integrity.\nSupport testing of healthcare interoperability and data exchange services where applicable, including FHIR/HL7-based APIs and healthcare integration patterns.\nEnsure appropriate handling of sensitive healthcare test data and alignment with organizational security, privacy, and compliance requirements.\nAutomation Framework Engineering\nArchitect and enhance BDD-based API automation frameworks using:\nCucumber\nTestNG\nREST Assured\nJava\nGradle\nDefine reusable feature files, step definitions, API clients, assertion libraries, data utilities, and comparison utilities.\nDevelop configurable validation mechanisms capable of supporting different APIs without extensive custom coding.\nEstablish coding standards, framework governance, peer reviews, and reusable engineering patterns.\nOptimize automation suites for parallel execution, maintainability, stability, and faster regression cycles.\nCI/CD & DevOps Integration\nIntegrate API automation into Jenkins/Udeploy CI/CD pipelines.\nDefine automated quality gates for builds and deployments.\nEnable API regression suites to execute across development, QA, integration, staging, and release environments.\nEstablish mechanisms for:\nPipeline-triggered execution\nEnvironment configuration\nTest-data management\nParallel execution\nFailure diagnostics\nAutomated reporting\nPartner with DevOps and engineering teams to enable continuous testing and shift-left quality engineering.\nReporting & Quality Metrics\nDefine enterprise-level API Quality Engineering reporting using:\nCucumber Reports\nJSON Reports\nHTML Reports\nExecution Logs\nCI/CD dashboards\nEstablish metrics for:\nAPI automation coverage\nFunctional coverage\nRegression coverage\nPass/fail trends\nDefect leakage\nModernization parity\nExecution stability\nRelease readiness\nProvide technical insights and quality recommendations to engineering leadership and customer stakeholders.\nAI-Assisted Quality Engineering\nDrive adoption of GitHub Copilot and GenAI-assisted engineering across the API testing lifecycle.\nUse AI assistance for:\nRequirement and API specification analysis\nTest scenario generation\nTest case generation\nGherkin/feature-file generation\nREST Assured automation development\nCode refactoring\nTest-data generation\nCoverage-gap identification\nFailure analysis\nLeverage OpenAPI specifications, GraphQL schemas, legacy documentation, and existing test assets as inputs for AI-assisted test design.\nDefine appropriate human review and governance practices for AI-generated test assets.\nIdentify opportunities to improve engineering productivity through intelligent automation and reusable accelerators.\nTechnical Leadership & Customer Engagement\nAct as the technical solution lead and architecture point of contact for API Quality Engineering.\nEngage with customer stakeholders to understand modernization objectives, current-state architecture, quality risks, and target-state requirements.\nTranslate business and technical requirements into testing architecture, solution approach, implementation roadmap, effort estimates, and delivery plans.\nConduct architecture reviews and technical solution presentations with customers and engineering leadership.\nLead technical discussions across development, architecture, DevOps, business, and QA teams.\nMentor automation engineers and QA leads and provide technical direction across distributed teams.\nIdentify testing risks, dependencies, technical constraints, and mitigation strategies early in the modernization lifecycle.\nRequired Technical Skills\nAPI & Microservices: REST APIs, RESTful services, Microservices Architecture, JSON, XML, OpenAPI/Swagger, GraphQL, API contracts, service integration patterns\nAPI Automation: REST Assured, Cucumber BDD, TestNG, Java, Gradle\nFramework Architecture: Reusable automation framework design, modular architecture, custom assertion utilities, schema validation, response comparison, test-data management\nDevOps: Jenkins, Udeploy, Git, Bitbucket, CI/CD integration, continuous testing\nTesting: API functional testing, integration testing, contract testing, regression testing, legacy-to-modern API parity testing, data validation, negative testing\nReporting: Cucumber Reports, JSON/HTML reporting, execution logs and CI/CD quality reporting\nAI-Assisted Engineering: GitHub Copilot, AI-assisted test analysis, scenario generation, Gherkin generation, automation development and coverage analysis\nHealthcare: Strong understanding of healthcare enterprise systems and preferably experience with claims, member, provider, eligibility, benefits, authorization, payments, or healthcare interoperability services.\nPreferred Skills\nExperience leading enterprise API modernization or monolith-to-microservices transformation programs.\nExperience architecting API automation frameworks used across multiple applications or programs.\nExperience with legacy-to-modern service comparison/parity validation.\nKnowledge of cloud-native architectures, containers, Kubernetes, API gateways, and service discovery is desirable.\nExposure to service virtualization, mocking, contract testing, and API performance testing.\nKnowledge of healthcare interoperability standards such as FHIR and HL7 is advantageous.\nExperience implementing AI/GenAI-assisted Quality Engineering practices.\nStrong customer-facing solutioning, architecture presentation, estimation, and stakeholder-management capabilities.\nExperience\n13+ years of overall experience in Quality Engineering, testing, software engineering, or related disciplines.\n7+ years of strong API testing and automation experience.\n5+ years in a Test Architect, Solution Architect, QE Architect, Technical Lead, or equivalent technical leadership role.\nDemonstrated experience leading complex API modernization, microservices, integration, or digital transformation programs.\nPrior experience in healthcare or health insurance programs is strongly preferred.\nExpected Candidate Profile\nThe ideal candidate should be able to take an enterprise modernization requirement such as:\nLegacy Enterprise Services → Modern APIs → Microservices\nand independently define the correspo...","description_format":"text","description_chars":14931,"description_truncated":true,"requirements":{"experience_years_min":13,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Managed IT Services 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