Quality Engineer (Remote, KA, IN)
Req ID: 379569
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 Quality Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).
Responsibilities and Qualifications:
- Lead the discovery (Current state) and Documentation that will produce 5 deliverables:
- Enterprise Testing Strategy
- QE Handbook
- Automation Handbook
- Perf Engineering Handbook
- Test Enablers
- Evaluate and maintain the testing strategies, approaches, tools and frameworks used by the teams.
- Design, develop and execute test automation frameworks and test automation suites.
- Provide regular quality and status reports.
- Participate in project-wide reviews of requirements, system architecture and detailed design documents.
- Act as key point of contact for other Quality Engineers across multiple teams.
- Identify and resolve issues that arise when integrating the application software with other software components.
- Mentor and guide other Quality Engineers on the QA Process, the testing strategy, tools and frameworks being used and assist them in growing their careers.
- Conduct regular performance reviews and conduct interviews.
- Develop testing strategies for AI-generated outputs: structured extraction accuracy measurement, confidence score calibration validation, and regression testing across model or prompt changes
- Design test harnesses for non-deterministic LLM outputs — define acceptable output schemas, boundary conditions, and automated assertion patterns that account for natural response variation
- Build integration test suites for the RAG pipeline: retrieval precision/recall measurement, embedding drift detection, and few-shot example quality validation
- Author contract tests for all external integration adapters to detect upstream API changes before they reach production; experience with consumer-driven contract testing patterns (e.g., Pact) a plus
- Design and execute performance tests against LLM inference endpoints to validate throughput, latency SLAs, and GPU utilization under concurrent engineer load
- Develop test cases for human-in-the-loop workflow paths: review queue routing logic, SME correction capture, override persistence, and RAG index update verification
- Experience testing event-driven or workflow-orchestrated systems (Temporal.io, Azure Durable Functions) a plus
- Experience using agentic AI tools for test generation (co-pilot-assisted test authoring, AI-generated test data) in daily QE workflows is a plus
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 a