Senior ConsultantQA Engineer

QA Engineer
Position Name: QA Engineer
Client: S&P
Location: Noida Gurgaon
Hybrid: 3-4 days work from Office
Minimum Relevant Experience: 5-8 Years
Start Date: Immediate
Key Skills: React JS TypeScript JavaScript UX/UI HTML5 CSS3 Accessibility WCAG Design Systems Python C# .NET core SQL REST APIs GraphQL Data Visualization Front End Performance Jest Cypress Playwright Enterprise SaaS.

Role Overview:
The Quality Engineer Consultant will design build and execute automated testing strategies for S&P Globals 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 Globals 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
Bachelors 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.

We transform. SAP solutions into Value

NTT DATA Business Solutions is a fast-growing international IT company and one of the worlds leading SAP partners. We are a full service provider delivering everything from business consulting to implementation of SAP solutions including hosting services and support.