Systems Integration Specialist Advisor

Req ID: 393282

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 Systems Integration Specialist Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

The role requires strong expertise in API testing, automation framework architecture, microservices validation, integration testing, service virtualization, performance, security, and AI-enabled Quality Engineering .

This is a senior customer-facing technical role responsible for assessing API landscapes, defining testing solutions, building reusable automation approaches, and guiding QA teams through implementation.

Key Responsibilities

• Own the end-to-end API testing architecture and solutioning strategy across enterprise applications.
• Understand business and technical architecture and translate it into a comprehensive API Quality Engineering strategy .
• Define API testing approaches covering functional, integration, end-to-end, regression, negative, security, performance, and resiliency testing .
• Design scalable and reusable API automation frameworks for REST, SOAP, GraphQL, and microservices.
• Define automation solutions using tools/frameworks such as REST Assured, Karate, Postman/Newman, Python/PyTest, Java, ReadyAPI/SoapUI , or equivalent.
• Architect testing solutions for complex microservices and distributed API ecosystems .
• Define API validation strategies across UI → API → Microservices → Database → Downstream systems .
• Establish contract testing strategies using tools such as Pact and consumer/provider contract validation.
• Define testing approaches for synchronous and asynchronous APIs , including Kafka/event-driven architectures and messaging systems.
• Design service virtualization/mocking solutions where dependent APIs or downstream systems are unavailable.
• Define API test data management and synthetic data generation approaches.
• Establish API automation integration with CI/CD pipelines to enable continuous testing and quality gates.
• Define API performance and scalability testing approaches using tools such as JMeter, Gatling, K6, or equivalent.
• Establish API security validation covering authentication, authorization, OAuth 2.0, JWT, API keys, data protection, and common API vulnerabilities .
• Define automation coverage, quality metrics, defect prevention strategies, and release-readiness criteria.
• Review existing QA frameworks and recommend modernization and automation improvements .
• Identify opportunities to use AI/GenAI in API testing , including test scenario generation, test data generation, automation script generation, defect analysis, and test optimization.
• Conduct PoCs and evaluate new QE tools, automation frameworks, and AI-assisted testing solutions .
• Lead technical discussions, solution walkthroughs, architecture reviews, and presentations with customers.
• Mentor QA Leads, SDETs, Automation Engineers, and API Testing teams.

API Solutioning Responsibilities

The candidate should be capable of independently assessing a customer API landscape and developing a complete testing solution:

Requirement Analysis → API Landscape Assessment → Risk Identification → Test Strategy → Automation Architecture → Tool Selection → PoC → Implementation → CI/CD Integration → Metrics & Continuous Improvement

The candidate should be able to answer questions such as:

• How should APIs across hundreds of microservices be tested efficiently?
• What should be automated at the API layer versus UI/E2E layer?
• How can API regression execution time be reduced?
• How should dependencies on unavailable downstream services be handled?
• How can contract testing prevent integration defects?
• How should asynchronous APIs and Kafka events be validated?
• How can API automation be integrated into CI/CD quality gates?
• How can AI improve API test design, automation, execution, and defect analysis?

Required Technical Skills

Strong hands-on experience with:

API Testing & Automation

• REST API and SOAP Web Services
• REST Assured
• Postman/Newman
• Karate
• SoapUI/ReadyAPI
• Python/PyTest
• Java/TestNG/JUnit
• JSON/XML validation
• OpenAPI/Swagger

API & Integration Architecture

• REST/SOAP/GraphQL
• Microservices architecture
• API Gateway/API Management
• Kafka/Event-driven architecture
• Messaging systems
• API contracts and schema validation
• Database/backend validation

Advanced Testing

• Contract Testing
• Service Virtualization/Mocking
• API Performance Testing
• API Security Testing
• Integration Testing
• Resiliency/Failure Testing
• Test Data Management

DevOps & Cloud

• Jenkins/Azure DevOps/GitHub Actions
• CI/CD and Continuous Testing
• Docker/Kubernetes fundamentals
• Azure/AWS/GCP exposure
• Git and source-code management

AI-Assisted Quality Engineering

• GenAI/LLM-assisted test generation
• AI-assisted automation development
• Intelligent test selection
• Synthetic test-data generation
• Defect/root-cause analysis
• GitHub Copilot or equivalent AI coding assistants

Architecture & Leadership Expectations

• Strong experience designing enterprise API automation frameworks from scratch .
• Ability to assess an existing testing ecosystem and propose a target-state QE architecture .
• Strong understanding of automation framework design, reusable components, maintainability, and scalability.
• Ability to conduct technical PoCs and tool/framework evaluations .
• Ability to estimate automation effort, resource requirements, timelines, and implementation roadmap.
• Strong customer-facing communication and presentation skills.
• Ability to explain technical solutions to both engineering teams and senior stakeholders.
• Experience leading multiple QA/Automation teams and providing technical governance.

Experience

• 8+ years of overall Quality Engineering/Testing experience .
• 5+ years of strong API testing and automation experience .
• Demonstrated experience in API Test Architecture / Automation Architecture / QE Solutioning .
• Experience leading enterprise-level API testing and automation initiatives.
• Experience working directly with customers on QA transformation, solutioning, architecture, and implementation .

Ideal Candidate Profile

The candidate should be able to demonstrate at least 2–3 large API testing solutions personally architected and implemented , explaining:

Customer Problem → Current-State Assessment → Test Strategy → Automation Architecture → Tool Selection → PoC → CI/CD Integration → Implementation → Coverage Improvement → Business Outcome

The role requires a hands-on API Test Architect and Solutioning expert , not primarily a QA Project/People Manager. The individual should be capable of designing the solution, defending architecture decisions in front of customers, conducting PoCs when required, and guiding engineering teams through implementation.

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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