Qureos Mentor

Presight

<div>
 
 About Presight
 
 
 
 
 JOB DESCRIPTION
 
 
 
 Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (&ldquo;AI&rdquo;). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 
 
 
 The Opportunity:
 
 
 
 Seeking a meticulous and expert Senior Engineer - Site Reliability to build and support the Presight delivery model that empowers product &amp; technology teams to develop &amp; deliver high-quality products, improve platform infrastructure and strengthen the reliability of products and solutions. You play a key role in defining &amp; establishing the delivery model deployed in the development of cutting edge, next-gen analytics solutions &amp; services at Presight.
 
 
 
 Key Responsibilities:
 
 
 
 As an Engineer &ndash; Site Reliability, you will be responsible for working with relevant stakeholders to drive scope definition, specification, and architecture for all services in the CI/CD pipeline that power the Presight delivery model.
 
 
 
 Functional
 
 
 
 <ul>
 <li>
 Foster a positive SRE culture that promotes frequent releases, high levels of automation (Ansible, Terraform, Helm), and software reliability (Monitoring Tools).
 </li>
 <li>
 Lead and troubleshoot high priority incidents impacting the organization, providing timely support to quickly resolve critical incidents for Linux based systems.
 </li>
 <li>
 Identify application patterns &amp; analytics in support of better service level objectives while integrating self-service &amp; resiliency patterns.
 </li>
 <li>
 Review and modify CI/CD principles and service maturity iteratively, striving for continuous improvement.
 </li>
 <li>
 Collaborate with internal teams to propose, architect and implement innovative &amp; transformational solutions for Presight.
 </li>
 <li>
 Champion SRE approaches across strategic systems to predict &amp; prevent disruptive events and improve the availability of solutions.
 </li>
 <li>
 Design &amp; enable automated change, release and upgrade management practices across existing products &amp; solutions.
 </li>
 <li>
 Ensure compliance with defined IT governance controls, standards, and practices.
 </li>
 <li>
 Improve service availability and scalability through tuning, automation, tools, and process.
 </li>
 <li>
 Analyze service performance, identify bottlenecks, and provide measurable improvement plans.
 </li>
 <li>
 Serve as primary point of contact for all matters concerning the customer and develop a trusted advisor relationship with executive sponsors by understanding their business needs and technical challenges.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business Analytics, Data Science, Computer Science, Engineering, or related field.
 </li>
 <li>
 Minimum 5-7 years of experience in DevOps Operations and deployment.
 </li>
 <li>
 Public Cloud (Azure must), Linux, Kubernetes, Docker, python hands on is must.
 </li>
 <li>
 Hands on experience on Private Cloud Openstack, OpenShift.
 </li>
 <li>
 Hands on experience on automation tools (Ansible, Terraform, Helm).
 </li>
 <li>
 CI/CD tools (GitLab, Jenkins and ArgoCD) and DevOps processes must have.
 </li>
 <li>
 Big data technologies i.e. Elasticsearch, Opensearch, Hadoop Cluster deployment.
 </li>
 <li>
 At least 3 years of experience in architectural knowledge and understanding of distributed systems and cloud infrastructure.
 </li>
 <li>
 Shell &amp; Python scripting.
 </li>
 <li>
 Handson experience on monitoring tools like ELK, Prometheus, Grafana and Zabbix.
 </li>
 <li>
 Handson experience on managing bare metal or virtualized environments.
 </li>
 <li>
 Must have knowledge of cloud networking and security.
 </li>
 <li>
 Strong experience on databases like MySQL, PostgreSQL, MongoDB, MSSQL.
 </li>
 <li>
 HashiCorp Vault or similar secrets management tools.
 </li>
 <li>
 Experience on Migration of DevOps Tools / Applications / Databases.
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 A highly detail-oriented and methodical approach to problem solving.
 </li>
 <li>
 A passion for technology, troubleshooting and customer service.
 </li>
 <li>
 A strongly analytical mind.
 </li>
 <li>
 Great verbal and written communication skills
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.
 
 
 
 What working at Presight offers:
 
 
 
 
 
 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, development &amp; growth 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.
</div>

Backend Engineer

<div>
 
 
 The Opportunity:
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
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 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
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 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 </li>
 </ul>
 
 
 
 
 
 Good to have:
 
 
 <ul>
 <li>
 data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc&hellip;
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc...
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward!
 </li>
 </ul>
</div>

Senior Full Stack Engineer

<div>
 
 
 The Opportunity:
 
 
 
 As a Senior DevOps Engineer in our team, you will be responsible for working collaboratively with software engineering to deploy and operate our systems. You will help automate and streamline our operations and processes, building and maintaining tools for deployment, monitoring and operations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Functional
 
 
 <ul>
 <li>
 Responsible for growing and developing an incredible team of talented and motivated engineers with high expectations around individual ownership and impact
 </li>
 <li>
 Maintain scalable and robust CI/CD framework.
 </li>
 <li>
 Ensure issues are tracked appropriately in the ticket management system.
 </li>
 <li>
 Work with engineers and QA to ensure that issues are resolved, and fixes deployed, in a timely fashion.
 </li>
 <li>
 Maintain suitable deployment-specific support documentation.
 </li>
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 Impart knowledge of best practices and IT operations in an always-up, always-available service.
 </li>
 <li>
 Transform ambiguity into clarity.
 </li>
 <li>
 Collaborate in a multicultural and diverse environment that expands to include various geographic locations.
 </li>
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 Convey and receive information in a clear, credible, and consistent manner.
 </li>
 <li>
 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.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 5+years&rsquo; experience in DevOps
 </li>
 <li>
 Experience in developing Continuous Integration/ Continuous Delivery pipelines (CI/ CD).
 </li>
 <li>
 Experience in building health and performance monitoring systems.
 </li>
 <li>
 Strong background in Linux/Unix Administration.
 </li>
 <li>
 Knowledge of one cloud platform such as AWS, Azure or GCP.
 </li>
 <li>
 Solid hands-on knowledge of Dockers and Container Orchestration tools such Kubernetes or Dockerswarm.
 </li>
 <li>
 Proficient in scripting, and Git workflows.
 </li>
 <li>
 Strong experience with SQL and MySQL.
 </li>
 <li>
 Experience deploying, operating, monitoring, and troubleshooting Java applications
 </li>
 <li>
 Hands-on experience running GPU workloads, including model deployment, inference serving, resource scheduling, performance monitoring, GPU utilization optimization and troubleshooting
 </li>
 </ul>
 
 
 
 
 
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 Working knowledge of OAuth 2.0, OpenID/OpenID-Connect, SAML 2.0, Kerberos, LDAP.
 </li>
 <li>
 Experience with RedHat OpenShift stack
 </li>
 <li>
 A highly detail-oriented and methodical approach to problem solving.
 </li>
 <li>
 Great verbal and written communication skills
 </li>
 </ul>
</div>

Senior DevOps Engineer

<div>
 
 Job Description
 
 
 
 
 Launch Your Career at the Cutting Edge of Applied AI
 
 
 
 
 Role: AI Engineer - Graduate Trainee Program
 
 
 
 
 Location: Abu Dhabi, UAE
 
 
 
 Are you ready to turn your passion for technology into
 
 real
 
 ‑
 
 world impact
 
 ?
 
 
 At
 
 Presight
 
 , part of the
 
 G42 ecosystem
 
 , we don&rsquo;t just build models, we build
 
 AI solutions that shape the future
 
 . From smart cities and public services to energy and finance, our teams deliver large ‑ scale, production AI systems used by governments and enterprises across the region and beyond.
 
 
 Our
 
 18
 
 ‑
 
 month Graduate AI Engineering Program
 
 is designed for
 
 graduates with 0&ndash;2 years of experience
 
 who want to learn fast, build real systems, and launch their careers as
 
 full
 
 ‑
 
 time AI engineers from day one
 
 .
 
 
 
 Why Start Your Career with Presight?
 
 
 
 <ul>
 <li>
 Work on real, high ‑ impact AI systems Contribute to live, production AI platforms used in mission ‑ critical environments, not simulations or academic exercises.
 </li>
 <li>
 Solve problems that matter See your work influence cities, industries, and communities through applied AI solutions at scale.
 </li>
 <li>
 Accelerate your learning curve Develop strong engineering foundations through a structured graduate incubator and hands ‑ on experience across AI engineering, data systems, and software development.
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 Learn from industry experts Grow under the guidance of experienced engineers and technical leaders, with structured mentorship, feedback, and coaching.
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 Build a strong foundation for your future Graduate the program ready for full AI Engineering roles, equipped with in ‑ demand technical skills and real delivery experience.
 
 
 </li>
 </ul>
 
 How The Program Works
 
 
 
 <ul>
 <li>
 18‑month structured program designed to transition you from graduate to professional AI engineer
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 Early incubator phase focused on foundational learning, support, and confidence ‑ building
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 <li>
 Progression into delivery teams working on real AI products and platforms
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 <li>
 Continuous learning, feedback, and performance milestones throughout the journey
 </li>
 <li>
 Full ‑ time employment from day one
 
 
 </li>
 </ul>
 
 Who We&rsquo;re Looking For
 
 
 
 We&rsquo;re looking for
 
 curious, driven, and ambitious graduates
 
 who are excited by technology and motivated to keep learning.
 
 
 You could be a great fit if you have:
 
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Artificial Intelligence fields from a UAE based University
 </li>
 <li>
 0&ndash;2 years of experience (including internships or graduate roles)
 </li>
 <li>
 Strong programming and problem ‑ solving skills
 </li>
 <li>
 A genuine interest in AI, machine learning, and modern engineering systems
 </li>
 <li>
 The ability to collaborate and grow in diverse, fast ‑ moving teams
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Gain
 
 
 
 <ul>
 <li>
 A structured 18 ‑ month paid program and development journey
 </li>
 <li>
 Hands ‑ on experience with real ‑ world AI deployments
 </li>
 <li>
 Ongoing technical mentorship and career guidance
 </li>
 <li>
 Exposure to modern tools, platforms, and scalable systems
 </li>
 <li>
 A clear pathway to long ‑ term career opportunities at Presight
 </li>
 </ul>
</div>

AI Engineer - Graduate Trainee Program

<div>
 
 
 Job Description: Lead Engineer - Data Centre &amp; Smart Infrastructure
 
 
 
 
 Location: Abu Dhabi
 
 
 
 
 About Presight
 
 
 
 
 
 
 Presight &mdash; ADX-listed, G42-backed, and the region's leading GenAI analytics company &mdash; is hiring a Solution Architect who is equally comfortable drawing integration blueprints and sitting in front of a client boardroom.
 
 
 This is not a purely pre-sales or design role. We need someone who has lived inside data centre programmes from concept through commissioning, owned stakeholder relationships end-to-end, and can still roll up their sleeves when it matters.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking a highly experienced, hands-on Lead Engineer to drive the design, integration, and delivery of complex smart infrastructure solutions across data centres, SCADA, BMS/DCIM, IoT, and enterprise AI platforms. This role demands an ideal blend of deep technical expertise and delivery leadership &mdash; someone who can own end-to-end engineering outcomes while collaborating across multi-vendor, cross-functional teams. In later project phases, the role will progressively take on project management responsibilities, steering delivery planning, stakeholder coordination, and operational handover.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end solution design and implementation for integrated systems spanning data centres, SCADA/OT, BMS, CCTV, access control, fire alarm, and AI/analytics platforms.
 </li>
 <li>
 Translate business requirements into scalable, secure, and high-performance architectures, ensuring alignment with business objectives and AI-driven solutions.
 </li>
 <li>
 Define and manage integration architecture across multi-vendor platforms, including APIs, middleware, data pipelines, and OT/IoT protocols (BACnet, Modbus, MQTT, REST).
 </li>
 <li>
 Develop and review high-level and low-level design documents (HLD/LLD), architectural blueprints, and vendor proposals, ensuring system feasibility and seamless cross-platform integration.
 </li>
 <li>
 Define and document data flows across systems &mdash; from IoT sensors and gateways through to DCIM/BMS, CCTV/VMS, analytics engines, and command &amp; control dashboards.
 </li>
 <li>
 Act as the technical bridge from initial design discussions through to final delivery, working closely with project managers, business analysts, architects, developers, and external partners.
 </li>
 <li>
 Coordinate with the PMO and product managers to assess resource requirements, delivery goals, and potential risks; identify risks and implement mitigation strategies to minimize impact on project quality and timelines.
 </li>
 <li>
 Oversee system integration testing (SIT), UAT, and commissioning activities, validating that delivered solutions meet performance, security, and regulatory requirements.
 </li>
 <li>
 Prepare and maintain high-quality technical documentation including architecture documents, integration diagrams, data flow diagrams, test plans, SOPs, and acceptance criteria.
 </li>
 <li>
 Provide cost modelling and technical inputs for financial forecasts, including BoMs, CAPEX/OPEX estimates, and TCO projections based on solution design.
 </li>
 <li>
 Support value engineering and scenario analysis, ensuring architecture decisions are cost-optimized, risk-aware, and aligned with budget and business case objectives.
 </li>
 <li>
 Ensure compliance with industry standards and regulations for security systems and drive adherence to security, compliance, and performance best practices, while considering long-term scalability.
 </li>
 <li>
 Cultivate a supportive team environment by valuing input from team members, mentoring junior engineers, and encouraging professional growth.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 10+ years of experience in system engineering, solution architecture, or technical lead roles within smart infrastructure, data centre, or mission-critical environments.
 </li>
 <li>
 Proven experience with OT systems integration &mdash; BMS, DCIM, SCADA, CCTV/VMS, PSIM, access control, and fire alarm systems.
 </li>
 <li>
 Strong understanding of OT/IoT protocols such as BACnet, Modbus, MQTT, and REST/HTTP APIs.
 </li>
 <li>
 Hands-on experience with multi-vendor platform integrations involving AI platforms, video management systems, connectivity, and IoT sensors.
 </li>
 <li>
 Strong understanding of edge vs. cloud-based architectures, including deployment trade-offs and performance considerations.
 </li>
 <li>
 Solid understanding of data centre concepts &mdash; power, cooling, racks, DCIM/BMS, monitoring, incident and change management.
 </li>
 <li>
 Experience with Agile/Scrum delivery practices, including backlog management and sprint planning.
 </li>
 <li>
 Exceptional interpersonal, stakeholder management, and client-facing skills, with a collaborative and empathetic approach.
 </li>
 <li>
 Strong organizational, planning, and problem-solving skills, with attention to detail and a proactive mindset.
 </li>
 <li>
 Excellent communication and documentation skills with the ability to translate complex technical concepts into business-friendly language.
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in mission-critical facilities &mdash; data centres, critical infrastructure, smart buildings, or industrial IoT environments.
 </li>
 <li>
 Exposure to digital twin platforms, 3D modelling, or BIM-based systems.
 </li>
 <li>
 Experience with AI/ML and analytics use cases for operations, security, and automation.
 </li>
 <li>
 Familiarity with cloud-native IoT platforms (e.g., Azure IoT, Kafka) and enterprise system integration.
 </li>
 <li>
 Background in system integrator firms or large-scale infrastructure delivery programmes.
 </li>
 </ul>
 
 
 
 
 Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
 
 
 
 
 
 
 What Working at Presight Offers
 
 
 <ul>
 <li>
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 
 Career:
 
 Outstanding learning, development &amp; growth opportunities via structured training programmes and innovative, high-tech projects.
 </li>
 <li>
 
 Rewards:
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 </li>
 </ul>
 
 
</div>

Lead Software Engineer

Join Presight and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.