Lead Engineer - Quality Assurance

Overview

Job Description: Lead Engineer – Quality Assurance

Location: Abu Dhabi

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The Opportunity

Presight is seeking a results-driven Lead Engineer – Quality Assurance who is passionate about delivering quality at scale. In this role, you will lead the QA function across high-impact AI and data analytics platforms, ensuring robust quality assurance processes, developing scalable test strategies, and mentoring QA engineers. You will play a critical role in driving engineering excellence and quality culture across the product lifecycle.

Responsibilities

• Lead and mentor a team of QA engineers, providing technical guidance, career development, and performance feedback.
• Define and drive the overall QA strategy, standards, and best practices across the engineering teams.
• Act as the quality owner for one or more products or programs, working closely with Product, Engineering, and DevOps teams.
• Identify quality goals and KPIs and establish automated reporting mechanisms to track progress.
• Proactively engage with stakeholders to understand business requirements and translate them into test plans and quality checkpoints.
• Lead the planning, design, and execution of end-to-end testing strategies (functional, non-functional, performance, regression, and UAT).
• Review technical specifications and product requirements and work with developers to ensure testability and stability of code.
• Own and continuously improve 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 security testing and compliance with data governance, privacy, and regulatory standards.
• Define and maintain QA processes aligned with Agile/DevOps practices, ensuring continuous delivery with high quality.
• Comply with 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

Requirements:

• 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, 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.