Software Development Specialist Advisor

Req ID: 386519

NTT 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.

We are currently seeking a Software Development Specialist Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

Coding Language – Java Primary, Python Good to have

API & Microservices: REST APIs, RESTful services, Microservices Architecture, JSON, XML, OpenAPI/Swagger, GraphQL, API contracts, service integration patterns

API Automation: REST Assured, Cucumber BDD, TestNG, Java, Gradle

Framework Architecture: Reusable automation framework design, modular architecture, custom assertion utilities, schema validation, response comparison, test-data management

DevOps: Jenkins, Udeploy, Git, Bitbucket, CI/CD integration, continuous testing

Testing: API functional testing, integration testing, contract testing, regression testing, legacy-to-modern API parity testing, data validation, negative testing

Reporting: Cucumber Reports, JSON/HTML reporting, execution logs and CI/CD quality reporting

AI-Assisted Engineering: GitHub Copilot, AI-assisted test analysis, scenario generation, Gherkin generation, automation development and coverage analysis

Healthcare: Strong understanding of healthcare enterprise systems and preferably experience with claims, member, provider, eligibility, benefits, authorization, payments, or healthcare interoperability services.

Experience

• 13+ years of overall experience in Quality Engineering, testing, software engineering, or related disciplines.
• 7+ years of strong API testing and automation experience.
• 5+ years in a Test Architect, Solution Architect, QE Architect, Technical Lead, or equivalent technical leadership role.

Job Description – API Test Architect & Test Solution Lead

API Modernization | Microservices | Healthcare | Quality Engineering

Role Overview

We 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.

The 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 .

This 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.

The 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.

Key Responsibilities

API Test Architecture & Solutioning

• Define the enterprise API Quality Engineering architecture, strategy, standards, and implementation roadmap for API modernization programs.
• Design scalable and reusable API automation frameworks supporting hundreds of APIs and thousands of test scenarios .
• Establish standardized testing approaches using Cucumber, TestNG, REST Assured, Gradle, Git/Bitbucket, Jenkins/Udeploy, and automated reporting .
• Define framework architecture with clear separation of:
• Test data
• Test logic
• Configuration
• Validation utilities
• Reporting
• Environment management
• Build reusable automation components, utilities, libraries, and common validation capabilities that can be adopted across multiple projects.
• Establish traceability across requirements → feature files → test data → automated execution → defects → results .

API Modernization & Microservices Validation

• Lead testing strategy for migration of legacy enterprise services to REST APIs and microservices architecture .
• Define legacy-versus-modernized service parity testing to ensure business functionality and data behavior remain consistent during modernization.
• Establish baseline request/response datasets from legacy services and compare them against modernized API responses.
• Design automated comparison capabilities for:
• Request/response validation
• JSON/XML payload comparison
• Schema validation
• Field-level comparison
• Business-rule validation
• Data transformation validation
• Database/backend validation
• Error and exception handling
• Validate service decomposition and interactions across distributed microservices.
• Develop testing approaches for synchronous and asynchronous service integrations.
• Define regression strategies that allow modernization teams to continuously verify functional parity during incremental migration.

API Functional & Integration Testing

• Define comprehensive API testing coverage including:
• Functional testing
• Integration testing
• Contract testing
• Schema validation
• Positive and negative testing
• Boundary testing
• Authentication and authorization validation
• Error handling
• Data integrity validation
• Regression testing
• End-to-end service validation
• Establish API test scenarios based on OpenAPI/Swagger specifications, GraphQL schemas, interface contracts, business requirements, and legacy system documentation .
• Define reusable test-data strategies using Excel, generated datasets, synthetic data, and approved production-like samples.
• Drive automation-first testing while identifying scenarios requiring specialized or exploratory validation.

Healthcare Domain Validation

• Provide Quality Engineering leadership for healthcare enterprise services supporting areas such as:
• Member and eligibility
• Provider
• Claims
• Benefits
• Enrollment
• Accumulators
• Authorization
• Payments
• Clinical and administrative integrations
• Ensure modernization testing validates critical healthcare business rules and cross-system data integrity.
• Support testing of healthcare interoperability and data exchange services where applicable, including FHIR/HL7-based APIs and healthcare integration patterns .
• Ensure appropriate handling of sensitive healthcare test data and alignment with organizational security, privacy, and compliance requirements.

Automation Framework Engineering

• Architect and enhance BDD-based API automation frameworks using:
• Cucumber
• TestNG
• REST Assured
• Java
• Gradle
• Define reusable feature files, step definitions, API clients, assertion libraries, data utilities, and comparison utilities.
• Develop configurable validation mechanisms capable of supporting different APIs without extensive custom coding.
• Establish coding standards, framework governance, peer reviews, and reusable engineering patterns.
• Optimize automation suites for parallel execution, maintainability, stability, and faster regression cycles.

CI/CD & DevOps Integration

• Integrate API automation into Jenkins/Udeploy CI/CD pipelines .
• Define automated quality gates for builds and deployments.
• Enable API regression suites to execute across development, QA, integration, staging, and release environments.
• Establish mechanisms for:
• Pipeline-triggered execution
• Environment configuration
• Test-data management
• Parallel execution
• Failure diagnostics
• Automated reporting
• Partner with DevOps and engineering teams to enable continuous testing and shift-left quality engineering .

Reporting & Quality Metrics

• Define enterprise-level API Quality Engineering reporting using:
• Cucumber Reports
• JSON Reports
• HTML Reports
• Execution Logs
• CI/CD dashboards
• Establish metrics for:
• API automation coverage
• Functional coverage
• Regression coverage
• Pass/fail trends
• Defect leakage
• Modernization parity
• Execution stability
• Release readiness
• Provide technical insights and quality recommendations to engineering leadership and customer stakeholders.

AI-Assisted Quality Engineering

• Drive adoption of GitHub Copilot and GenAI-assisted engineering across the API testing lifecycle.
• Use AI assistance for:
• Requirement and API specification analysis
• Test scenario generation
• Test case generation
• Gherkin/feature-file generation
• REST Assured automation development
• Code refactoring
• Test-data generation
• Coverage-gap identification
• Failure analysis
• Leverage OpenAPI specifications, GraphQL schemas, legacy documentation, and existing test assets as inputs for AI-assisted test design.
• Define appropriate human review and governance practices for AI-generated test assets.
• Identify opportunities to improve engineering productivity through intelligent automation and reusable accelerators.

Technical Leadership & Customer Engagement

• Act as the technical solution lead and architecture point of contact for API Quality Engineering.
• Engage with customer stakeholders to understand modernization objectives, current-state architecture, quality risks, and target-state requirements.
• Translate business and technical requirements into testing architecture, solution approach, implementation roadmap, effort estimates, and delivery plans .
• Conduct architecture reviews and technical solution presentations with customers and engineering leadership.
• Lead technical discussions across development, architecture, DevOps, business, and QA teams.
• Mentor automation engineers and QA leads and provide technical direction across distributed teams.
• Identify testing risks, dependencies, technical constraints, and mitigation strategies early in the modernization lifecycle.

Required Technical Skills

API & Microservices: REST APIs, RESTful services, Microservices Architecture, JSON, XML, OpenAPI/Swagger, GraphQL, API contracts, service integration patterns

API Automation: REST Assured, Cucumber BDD, TestNG, Java, Gradle

Framework Architecture: Reusable automation framework design, modular architecture, custom assertion utilities, schema validation, response comparison, test-data management

DevOps: Jenkins, Udeploy, Git, Bitbucket, CI/CD integration, continuous testing

Testing: API functional testing, integration testing, contract testing, regression testing, legacy-to-modern API parity testing, data validation, negative testing

Reporting: Cucumber Reports, JSON/HTML reporting, execution logs and CI/CD quality reporting

AI-Assisted Engineering: GitHub Copilot, AI-assisted test analysis, scenario generation, Gherkin generation, automation development and coverage analysis

Healthcare: Strong understanding of healthcare enterprise systems and preferably experience with claims, member, provider, eligibility, benefits, authorization, payments, or healthcare interoperability services.

Preferred Skills

• Experience leading enterprise API modernization or monolith-to-microservices transformation programs .
• Experience architecting API automation frameworks used across multiple applications or programs.
• Experience with legacy-to-modern service comparison/parity validation .
• Knowledge of cloud-native architectures, containers, Kubernetes, API gateways, and service discovery is desirable.
• Exposure to service virtualization, mocking, contract testing, and API performance testing.
• Knowledge of healthcare interoperability standards such as FHIR and HL7 is advantageous.
• Experience implementing AI/GenAI-assisted Quality Engineering practices.
• Strong customer-facing solutioning, architecture presentation, estimation, and stakeholder-management capabilities.

Experience

• 13+ years of overall experience in Quality Engineering, testing, software engineering, or related disciplines.
• 7+ years of strong API testing and automation experience.
• 5+ years in a Test Architect, Solution Architect, QE Architect, Technical Lead, or equivalent technical leadership role.
• Demonstrated experience leading complex API modernization, microservices, integration, or digital transformation programs .
• Prior experience in healthcare or health insurance programs is strongly preferred.

Expected Candidate Profile

The ideal candidate should be able to take an enterprise modernization requirement such as:

Legacy Enterprise Services → Modern APIs → Microservices

and independently define the corresponding:

Current-State Assessment → Test Strategy → API Test Architecture → Legacy Baseline → Modern API Validation → Automated Parity Testing → CI/CD Integration → Regression Strategy → Quality Gates → Production Readiness

The candidate should combine hands-on API automation architecture expertise with solutioning and customer-facing leadership , rather than functioning only as a test manager or delivery manager.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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