Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. As an Engineering Manager, you’ll play a pivotal role as a technical leader, overseeing multiple teams across various projects and working closely with Project Managers and Product Owners. Your responsibility will be to drive technical alignment, manage team performance, and deliver innovative solutions that meet both business and technical requirements.
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Responsibilities
- Lead, mentor, and motivate a team of software engineers to achieve technical and professional excellence.
- Foster a culture of collaboration, innovation, and continuous learning.
- Conduct performance reviews, set goals, and support career development for team members.
- Build and sustain strong working relationships within the Project Team, contributing effectively to meet project objectives.
- Develop and review technical designs, ensuring adaptability for future business and technical needs.
- Provide guidance on architectural decisions, technical design, and implementation.
- Ensure the team adheres to best practices in coding, testing, and DevOps processes.
- Translate abstract business needs into actionable stories, coordinating with Product Owners and teams to deliver effectively within an Agile framework.
- Plan and prioritize engineering efforts in alignment with company goals and product roadmaps.
- Monitor project progress, manage risks, and ensure on-time delivery.
- Serve as the primary point of contact between engineering and other departments.
- Utilize DevOps methodologies to deploy secure, efficient code in cloud-based environments.
- Collaborate on test and automation strategies, incorporating techniques such as Test-Driven Development (TDD) to ensure code quality.
- Drive code quality by participating in code reviews and refactoring legacy code.
Qualifications
- Education: Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
- Experience: Minimum of 15 years in software engineering with expertise in backend services, design patterns, and cloud-hosted infrastructure; at least 5 years in an AI service or analytics setting.
- Proven track record in team management with a passion for developing talent.
- Experience with Azure cloud or on-premise servers.
- Proven expertise in deployment tools, CI/CD pipelines, and automation frameworks (e.g., Jenkins, GitLab CI/CD, Ansible).
- Strong knowledge of cloud platforms and containerization technologies (e.g., Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to handle complex technical challenges.
Working Conditions
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
- Career: Outstanding learning and development opportunities via structured training programs and innovative, high-tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
