Quality Analyst Engineer

fis; India; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

FIS in India is seeking a Senior Quality Engineering Lead to drive reliability and AI-powered automation across our Revenue Connect platform. You will craft and guide automated testing for UI, API, data, and microservices within a cloud-first environment, shaping quality gates and observability.

Collaborate with engineering, product, and SRE teams to raise quality standards, mentor a growing QE team, and push best practices for AI-enabled features and safe model behavior in a fast-paced fintech

Qualifications

• Design, build, and maintain automation frameworks for UI, API, data, and microservices testing.
• Leverage AI-driven techniques for test generation, defect detection, and regression selection.
• Develop and track observability-based quality metrics and CI/CD quality gates.
• Validate AI/ML-powered features and ensure safe model behavior.
• Define and implement end-to-end quality strategies across platform components.
• Partner with engineering, product, and SRE teams to ensure testability and guardrails.
• Lead and mentor a quality engineering team, fostering AI-assisted practices.
• Drive technical excellence through standards, code reviews, and continuous skill development.

Responsibilities

• Design, build, and maintain automation frameworks for UI, API, data, and microservices testing.
• Leverage AI-driven techniques for test generation, defect detection, and regression selection.
• Develop and track observability-based quality metrics and CI/CD quality gates.
• Validate AI/ML-powered features and ensure safe model behavior.
• Define and implement end-to-end quality strategies across platform components.
• Partner with engineering, product, and SRE teams to ensure testability and guardrails.
• Lead and mentor a quality engineering team, fostering AI-assisted practices.
• Drive technical excellence through standards, code reviews, and continuous skill development.

Skills

Automation architecture

AI/ML testing

CI/CD integration

Debugging & problem-solving

Distributed systems testing

Team leadership

Communication

Tools

Playwright

Selenium

JUnit/TestNG

Postman

Job description

FIS is a global leader in financial technology, powering mission‑critical systems that help the world pay, bank, and invest. If you're passionate about advancing the future of fintech and building transformative products used across the money lifecycle, we'd like to ask you: Are you FIS?

About the team:

Revenue Connect is FIS's next-generation cloud platform, designed to transform commercial pricing and billing for banks with modern AWS infrastructure, API-first microservices, and advanced UI/UX. This approach eliminates legacy technical debt and delivers the speed, accuracy, and transparency banks demand.

As Quality Engineering Lead, you'll drive uncompromising reliability and intelligent automation, using AI-powered insights and automation-first engineering to ensure our platform's excellence and robust validation at every layer.

What you will be doing:

• Design, build, and maintain automation frameworks for UI, API, data, and microservices testing.
• Leverage AI-driven techniques for test generation, defect detection, and regression selection.
• Develop and track observability-based quality metrics and CI/CD quality gates.
• Validate AI/ML-powered features and collaborate to ensure safe and correct model behaviour.
• Define and implement end-to-end quality strategies across key platform components.
• Partner with engineering, product, and SRE teams to ensure strong SDLC testability and guardrails.
• Lead and mentor a quality engineering team, fostering AI-assisted engineering practices.
• Drive technical excellence through standards, code reviews, and continuous skill development.

What you will need:

• 7+ years of direct experience in software quality engineering, including automation architecture and framework development .
• Strong hands‑on expertise with modern automation tools (Playwright, Selenium, JUnit/TestNG, Postman et al).
• Proven experience validating AI‑enabled features - LLMs, anomaly detection, model‑driven logic, or generative workflows.
• Deep knowledge of testing for distributed systems, microservices, data pipelines, and cloud environments (AWS preferred).
• Solid experience integrating automation into CI/CD pipelines.
• Strong debugging, problem‑solving, and analytical skills across frontend, backend, and data layers.
• Excellent communication, collaboration, and cross‑team influence skills in a fast‑paced engineering organization.

Added bonus if you have:

• Experience with RAG pipelines , vector stores, guardrail frameworks, model evaluation, or safe AI patterns.
• Experience testing financial systems, billing engines, or analytics‑heavy platforms.
• Familiarity with synthetic data generation or statistical validation for AI and data‑driven testing.

What we offer you:

• -An exciting opportunity be a part of Worlds Leading FinTech Product MNC
• -To be a part of vibrant team and to build up a career on core banking/payments domain
• -A broad range of professional education and personal development possibilities FIS is your final career step!
• -Time to support charities and give back in your community

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice .

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.