Quality Engineer

Zensar; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Zensar, a global technology leader, is seeking a Quality Engineering Lead to strengthen Revenue Connect’s cloud platform for banks. You will design, implement, and scale automation across UI, API, data, and microservices, guided by AI-driven quality strategies and robust observability.

Collaborate with engineering, product, and SRE teams to raise SDLC testability and drive excellence. Join a fast-paced, learning-focused environment that values experimentation, strong communication, and

Qualifications

• 7+ years of direct experience in software quality engineering, including automation architecture and framework development.
• Hands-on expertise with modern automation tools (Playwright, Selenium, JUnit/TestNG, Postman).
• Proven experience validating AI-enabled features and distributed systems.
• Deep knowledge of testing for cloud environments (AWS preferred) and CI/CD integration.

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 end-to-end quality strategies across key platform components.
• Partner with engineering, product, and SRE teams for SDLC testability and guardrails.
• Lead and mentor a quality engineering team with AI-assisted practices.
• Drive technical excellence through standards, code reviews, and continuous skill development.

Skills

Automation architecture

Framework development

Leadership

Communication

Education

Bachelor's degree in Computer Science

Tools

Playwright

Selenium

JUnit/TestNG

Postman

Job description

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

About the team:

Revenue Connect is 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 behavior.
• 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:

• Bachelor's degree in Computer Science or equivalent experience.
• 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.

What we offer you:

• Flexible and creative work environment
• Diverse and collaborative atmosphere
• Professional and personal development resources
• Opportunities to volunteer and support charities
• Competitive salary and benefits

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 behavior.
• 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:

• Bachelor's degree in Computer Science or equivalent experience.
• 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.

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.

At Zensar, we’re
“experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose:
“Together, we shape experiences for better futures”. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is
ONE with Client - a set of four core values that reflect who we are and how we work:
One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.