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3012 matching jobs

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Site Reliability Engineer

Discovered MENA

Dubai, United Arab Emirates

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Site Reliability Engineer (SRE)


Location: Dubai

Duration: Permanent


We’re currently partnered with a leading technology consultancy who are scaling their tech team. They offer a diverse work environment that provide services in the UAE impacting millions of lives. We're currently helping them search for a Site Reliability Engineer to join their ever growing team.

Responsibilities:

  • Architect, implement, and oversee scalable, high-performance AI and data infrastructure across cloud (AWS) and on-prem environments.
  • Utilise automation tools (e.g., Terraform, Ansible) for provisioning, monitoring, and infrastructure optimisation.
  • Design robust monitoring, alerting, and logging solutions to detect and mitigate potential failures before they impact operations.
  • Develop and maintain seamless CI/CD pipelines to accelerate the deployment of AI models and data-driven applications.
  • Optimise workflows to enhance efficiency, reduce deployment friction, and maintain system stability.
  • Partner with AI researchers, data engineers, and developers to align infrastructure with project needs.
  • Act as a bridge between AI, data, and infrastructure teams, ensuring smooth communication and technical alignment.
  • Rapidly diagnose and resolve system incidents, conducting thorough root-cause analyses to prevent future issues.
  • Establish and refine disaster recovery frameworks to safeguard AI and data assets.
  • Implement stringent security protocols to protect AI and data infrastructure, ensuring compliance with industry regulations.
  • Perform regular security evaluations, proactively addressing vulnerabilities.
  • Identify opportunities to improve system scalability, efficiency, and resilience.
  • Stay ahead of emerging trends in AI infrastructure, site reliability engineering, and cloud technologies.


Qualifications & skills:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • 3-5 years experience in a similar role
  • Experience with on-premise and cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
  • Experience with AI and data-specific infrastructure (e.g., GPU clusters, data lakes)
  • Understanding of machine learning frameworks and data processing tools (e.g., TensorFlow, PyTorch, Apache Spark).

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