Senior/Lead QA Engineer – Automation

About us :

Quoreka has a formidable presence in the vendor solutions market for metals, energy, and agriculture. Catering a wide range of asset classes, our company utilizes a cloud-based suite of CTRM and ETRM solutions enhanced by AI/ML technology, alongside Supply Chain Management and E-Sourcing products. Today, we boast of extensive CTRM/ETRM expertise across softs, ags, fertilizers/chemicals, liquids, precious metals, concentrates, energy and much more.

Quor Group is able to provide the industry with a very unique offering that meets the growing demands of commodity traders, energy merchants’ miners, industrials to producers providing best-in-class functionality, user experience, technology and services. Our product roadmap is innovation-centric, focusing on AI and delivering strong product value propositions with clear short-term, medium-term, and long-term goals. Quor Group has over 200 employees and offices across the UK, India, Australia, Switzerland and Canada, serving ~100 customers globally across multiple commodity segments.

About the role :

We are seeking a Senior / Lead Automation QA Engineer with strong technical leadership in test automation, framework design, and intelligent quality engineering.

The ideal candidate will bring deep expertise in Playwright, Selenium, or Cypress, a solid programming foundation, and an understanding of GenAI, LLMs, and agentic AI to drive modernization of automation and testing practices.

This role requires a technically proficient and experienced engineer who can own the existing framework, review automation quality, drive improvements, and guide the team toward next-generation, AI-driven testing excellence.

Education :

B.E / B.Tech in Computer Science, Information Technology, MCA, or a related discipline.

Responsibilities, Experience & Skillsets

Key Responsibilities:

- Own and enhance the existing Playwright-based automation framework, leveraging design patterns like POM, BasePage, and Allure reporting.

- Define and drive the roadmap for automation enhancement, framework optimization, and intelligent testing using AI/LLM technologies

- Provide technical leadership and mentorship to automation engineers, ensuring code quality, consistency, and scalability.

- Review automation scripts, test coverage, and framework performance to ensure maintainability and robustness.

- Introduce and integrate GenAI-powered solutions for test case generation, defect analysis, and predictive quality insights.

- Collaborate closely with QA, Development, and DevOps leaders to ensure full automation integration in CI/CD pipelines.

- Drive proof-of-concepts for new tools ( LangChain, CrewAI, AutoGen, etc.) and implement those aligned with organizational goals.

- Manage multiple projects simultaneously, prioritize tasks, and ensure delivery alignment with quality standards and timelines.

- Strong understanding of GitHub, Jenkins, Maven/Gradle, and TestNG.

- Optimize test automation performance and ensure maintainability.

- Translate manual test requirements into efficient, automated end-to-end test scripts.

- Experience with MongoDB, SQL, and Oracle databases.

- Proactive and self-driven professional capable of working independently in a fast-paced environment.

- Adapt quickly to evolving project scopes and business priorities.

- Adhere to prevailing Quoreka’s ISMS policies and procedures while delivering the duties.

Required Skills & Experience

- 7–12 years of experience in Software Testing & Automation (preferably product-based environments).

- Strong technical expertise in Playwright (TypeScript/Java) and working knowledge of Selenium or Cypress.

- In-depth understanding of automation frameworks, design patterns (POM, BasePage, Hybrid), and CI/CD pipelines (Jenkins, GitHub Actions).

- Hands-on experience with API testing (Postman, REST Assured) and Allure reporting.

- Proficiency in Java, TypeScript, or Python for test automation and review.

- Familiarity with GenAI and LLMs (e.g., OpenAI, Anthropic, Llama) for QA use cases.

- Exposure to agentic AI concepts and tools (LangChain, CrewAI, AutoGen) preferred.

- Strong analytical, debugging, and problem-solving skills.

- Excellent communication, stakeholder management, and leadership abilities.

- Experience managing multiple automation projects and mentoring geographically distributed teams.

Good to Have

- Good to have experience in mobile test automation.

- Good understanding of SDLC and STLC processes in an Agile delivery model, including sprint-based automation and continuous integration

- Good to have experience in API test automation using RESTFUL API.

- Familiarity with performance testing tools (JMeter, Gatling).

- Good to have experience in AWS security testing.

- Experience on Cloud domain preferred.

- Strong presentation and documentation skills to report QA metrics to leadership.

Interpersonal Skills :

- Excellent communication, presentation, and collaboration skills.

- Proven leadership and mentoring experience.

- Strong interpersonal and problem-solving capabilities.

- Positive, proactive, and motivated approach to driving team success.

Key Accountabilities :

- Provide day to day management of a global team of automation test engineers.

- Provide day-to-day leadership to a global automation QA team.

- Collaborate with QA Managers/Leads to plan and schedule test cycles.

- Review and maintain automation test scripts and frameworks for assigned products.

- Analyze change requests, assess impact, and drive implementation.

- Ensure framework and scripts are updated, reusable, and maintainable.

- Coordinate automation execution, reviews, and defect triage.

- Maintain datasets and test environments for automation runs.

- Provide regular project updates and quality metrics to stakeholders.

- Drive a culture of quality, accountability, and continuous improvement.