About the Job:
Presight, an ADX-listed public company and a leader in big data analytics powered by GenAI, is seeking a results-driven Lead Engineer - Quality Assurance. This role is critical in delivering quality at scale across high-impact AI and data analytics platforms. You will be responsible for leading the QA function, ensuring robust quality assurance processes, developing scalable test strategies, and mentoring QA engineers. Your contributions will drive engineering excellence and promote a quality culture throughout the product lifecycle.
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Responsibilities:
- Lead and mentor a team of QA engineers while providing technical guidance, career development, and performance feedback.
- Define and drive the overall QA strategy, standards, and best practices across engineering teams.
- Serve as the quality owner for products or programs, collaborating closely with Product, Engineering, and DevOps teams.
- Identify quality goals and KPIs, establishing automated reporting mechanisms to track progress.
- Engage proactively with stakeholders to understand business requirements, translating them into test plans and quality checkpoints.
- Lead the planning, design, and execution of various testing strategies (functional, non-functional, performance, regression, and UAT).
- Review technical specifications and product requirements, ensuring testability and stability of code in partnership with developers.
- Own and enhance automated testing frameworks, CI/CD integrations, and test coverage metrics.
- Perform complex test design, data quality validation, and environment management for scalable data and AI-based platforms.
- Ensure compliance with security testing, data governance, privacy, and regulatory standards.
- Define and maintain QA processes aligned with Agile/DevOps practices, ensuring continuous delivery with high quality.
- Adhere to QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans, and related risk assessments.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
- 8+ years of hands-on experience in software quality assurance and testing, with at least 3 years in a leadership or mentoring role.
- Proven experience in end-to-end testing of large-scale web, cloud, and data-driven applications.
- Strong proficiency in tools such as Selenium, Cypress, Postman, Robot Framework, SoapUI.
- Familiarity with test management platforms like JIRA, TestRail, Confluence, HP QC/ALM.
- Hands-on knowledge of scripting/programming (Python, Java, JavaScript, or similar).
- Experience with big data/AI platforms, including data quality checks, ETL validation, Spark, ElasticSearch, and SQL.
- Good understanding of tech-ops environments (Kubernetes, Docker, Cloud Platforms, Linux/Shell scripting).
- Deep understanding of Agile, Scrum, and DevOps practices with experience in fast-paced product environments.
This role offers a unique opportunity to contribute to cutting-edge projects while ensuring quality and excellence in high-stakes environments.
