Team Lead, IT Quality Assurance Engineer

Job Purpose

The Team Lead, IT Quality Assurance Engineer plays a critical role in the successful execution of Tungsten Automation’s technology roadmap. In this role, you will be responsible for guiding and developing a high‑performing QA group while actively contributing to hands‑on testing, automation, and quality‑driven delivery. Acting in a player‑coach capacity, the role balances leadership responsibilities with direct technical participation, ensuring both the strategic direction and day‑to‑day execution of quality assurance activities are delivered with excellence.

The Team Lead oversees test planning, execution, automation strategies, and quality standards across multiple projects and product teams. They mentor QA engineers, drive continuous improvement, and enforce best practices in testing, documentation, and defect management. This role collaborates closely with IT delivery teams and business stakeholders to ensure consistent, reliable, and scalable outcomes that align with organizational technology objectives.

Key Responsibilities

· Lead, mentor, and develop a high impact team of QA engineers to support the successful execution of the cross-functional technology roadmap.

· Act as a player‑coach by performing hands‑on testing and automation work alongside the team, including test case development, execution, and automation scripting.

· Oversee the planning, design, and execution of test strategies across functional, integration, regression, and performance testing.

· Drive the adoption and enhancement of test automation frameworks and reusable test assets.

· Ensure high‑quality test documentation including plans, cases, scripts, and traceability artifacts.

· Define and enforce QA standards, processes, and governance measures across delivery teams.

· Lead root-cause analysis for defects, incidents, and recurring quality issues.

· Partner closely with IT delivery teams and business stakeholders to ensure test coverage and alignment with requirements.

· Leverage AI testing solutions and functionality to further elevate the QA practice and team delivery.

· Enhance and maintain automation frameworks (UI, API, performance, etc.).

· Validate complex integrations, data flows, and system behaviours across environments.

· Contribute to continuous integration and continuous delivery (CI/CD) practices.

· Participate in sprint ceremonies, backlog refinement, release planning, and design discussions.

· Ensure timely and accurate reporting of testing status, risks, and quality metrics.

· Foster a culture of quality, accountability, and continuous improvement.

· Manage team workload, resource allocation, and prioritization across multiple projects.

· Facilitate knowledge sharing, cross-training, and adoption of best practices.

· Identify and implement improvements to QA processes, tools, and methodologies.

· Champion modern testing approaches (shift-left, risk-based testing, exploratory testing).

· Stay current on emerging QA technologies, automation tools, and industry best practices.

Qualifications

Required

· Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.

· 3-5 years of professional QA engineering experience, including both manual and automated testing.

· Proven experience in an IT QA Lead or similar role, with a focus on end-to-end quality assurance for business systems.

· In-depth knowledge of QA methodologies, defect tracking systems, SDLC frameworks (e.g. Agile, Scrum), and quality governance.

· Hands-on experience with test automation tools and frameworks (e.g. Selenium, Playwright, Postman).

· Experience using CI/CD platforms (e.g. Azure DevOps, GitHub) for testing and automation pipelines.

· Solid understanding of API testing, data validation, integration testing, and performance testing concepts.

· Proficiency in designing and executing test plans, test cases, and test scripts, as well as test automation and scripting languages (e.g. Python, C#).

· Experience working in complex enterprise environments with multiple integrations and systems such as Salesforce, NetSuite, and custom build applications.

· Strong grasp of cloud-based application testing and modern architectures (APIs, microservices, containers).

· Familiarity with QA tools (e.g. Azure DevOps, TestRail, qTest).

· Excellent analytical and problem-solving skills, with the ability to think critically and troubleshoot complex issues.

· Strong organizational and time management abilities, with a keen eye for detail.

· Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and translate technical concepts for non-technical stakeholders.

· Experience with designing, deploying, and scaling AI testing solutions in the QA domain.

· Understanding of responsible AI use, ethics, and data governance.