Req ID: 386348

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

Quality Engineer — Consultant

Role Overview

The Quality Engineer Consultant will design, build, and execute automated testing strategies for S&P Global's AI-enabled and enterprise software platforms. This role will cover testing across React applications, APIs, Python services, C#/.NET components, SQL databases, AI agents, RAG pipelines, MCP integrations, and enterprise workflows.

The consultant will help ensure that S&P Global's software and AI systems are reliable, accurate, secure, traceable, performant, and production ready.

This role requires strong test automation skills, programming ability, SQL expertise, and an understanding of how to validate both traditional deterministic applications and non-deterministic AI/LLM-based systems.

Consultant Engagement Expectations

The consultant will be expected to rapidly understand project scope, application architecture, test strategy, quality standards, release processes, and CI/CD pipelines.

The consultant will deliver automated test frameworks, test scripts, validation reports, defect analysis, quality documentation, and handover materials for S&P Global internal teams.

Key Responsibilities

Design, develop, and maintain automated test frameworks for enterprise applications, APIs, data pipelines, AI services, and user interfaces.
Test React JS front-end applications for functional behavior, UX flows, accessibility, cross-browser compatibility, data accuracy, and performance.

Validate backend services.

Create SQL-based validation scripts to verify data accuracy, completeness, consistency, reconciliation, and transformation logic.
Validate AI agent workflows, LLM outputs, RAG accuracy, MCP server integrations, prompt behavior, tool-calling logic, and human-in-the-loop processes.
Develop automated test cases for functional, regression, integration, API, UI, performance, security, accessibility, and data validation testing.
Build AI evaluation frameworks to assess groundedness, relevance, hallucination risk, consistency, safety, policy adherence, and response quality.
Integrate automated tests into CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, Jenkins, GitLab CI, or similar platforms.
Perform root cause analysis for defects, integration issues, data mismatches, AI response failures, and production incidents.
Collaborate with AI Engineers, React Engineers, Data Modelers, Product Owners, and Architects to define acceptance criteria and test coverage.
Document test strategy, test cases, automation design, quality risks, defect summaries, test results, and handover instructions.
Provide knowledge transfer to S&P Global internal QA, engineering, and product teams.

Required Qualifications

Bachelor's degree in computer science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
Strong experience in quality engineering, software testing, and test automation.
Strong SQL skills for database validation, data reconciliation, and test data analysis.
Experience testing APIs, microservices, web applications, data pipelines, and enterprise platforms.
Experience testing React JS applications and validating front-end workflows.
Experience in integrating automated tests into CI/CD pipelines.
Understanding of AI/ML testing concepts, including LLM response validation, prompt regression testing, RAG evaluation, model output validation, and agent workflow testing.
Strong analytical skills with the ability to identify edge cases, failure modes, and quality risks in complex systems.

Preferred Qualifications

Experience testing AI agents, MCP server integrations, LLM applications, RAG systems, vector search, or intelligent workflow automation.
Experience in financial services, fintech, market intelligence, ratings, risk, commodities, or regulated enterprise environments.
Experience with performance testing tools such as JMeter, k6, LoadRunner, or Gatling.
Experience with accessibility testing, UX validation, and front-end testing for React applications.
Familiarity with AWS, Azure, or Google Cloud.
Experience with test data management, service virtualization, contract testing, and observability tools.

Key Skills

Quality Engineering, Test Automation, Python, C#, SQL, API Testing, UI Testing, React Testing, AI Testing, LLM Evaluation, RAG Validation, MCP Testing, Playwright, CI/CD, Data Validation, Performance Testing, Enterprise QA.

Expected Deliverables

API, UI, integration, regression, performance, and data validation test suites.
AI validation test cases for agents, RAG, MCP, and LLM workflows.
SQL data validation scripts and reconciliation reports.
Test strategy, coverage reports, defect summaries, and handover documentation.
Knowledge transfer sessions for S&P Global QA and engineering teams.

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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