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Site Reliability Engineer

Open Innovation AI
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Site reliability engineeringLinux system administrationKubernetesContainer runtimesDistributed systemsOn-premises infrastructure

Full Job Posting

Company overview

Open Innovation AI develops solutions for managing AI workloads; its OICM product orchestrates AI tasks across diverse infrastructure.

The platform is hardware-agnostic and supports GPU and accelerator environments and enterprise AI application integration.

Role overview

Support and maintain Open Innovation AI products and deployments across customer environments, including secure, isolated on-premises infrastructure.

Troubleshoot issues across hardware, Linux, Kubernetes, middleware, and application layers to restore service availability.

Responsibilities

  • Support production deployments, often with restricted connectivity or air-gapped environments, and ensure platform availability, upgrades, and stability.
  • Diagnose incidents across hardware, Linux, Kubernetes, containers, middleware, and platform components; analyze logs and application output to identify root causes.
  • Review and execute approved changes under Change Management, including updates, configuration adjustments, and component upgrades.
  • Maintain knowledge of product architecture, services, dependencies, and customer production usage; guide L1 and Service Desk teams with triage.
  • Escalate complex code-level or product-defect issues to L3 with structured diagnostic information.
  • Conduct on-site health assessments of clusters, services, system resources, and environment readiness.
  • Collaborate with Systems Engineering on performance across compute, storage, networking, and Kubernetes and apply identified improvements.
  • Maintain SOPs, runbooks, troubleshooting steps, and known-issue guides; contribute to post-incident reviews and prevention recommendations.
  • Follow Incident, Change, and Problem Management processes.

Required experience and qualifications

  • Bachelor’s degree in computer science, information technology, engineering, or a related field.
  • 4–7 years in SRE, DevOps, infrastructure operations, or platform engineering roles in on-premises or secure environments.
  • Strong Linux administration skills, including troubleshooting, log analysis, service management, and performance tuning.
  • Hands-on Kubernetes, container runtime, and distributed systems experience in on-premises deployments.
  • Understanding of enterprise compute, storage, networking, and virtualization layers.
  • Practical experience with Kafka, Redis, PostgreSQL, or similar middleware and data-layer technologies.
  • Understanding of ITIL-aligned operational frameworks and ability to diagnose complex issues across the stack.
  • Secure, restricted, or isolated environment experience is an advantage.
  • Strong analytical and communication abilities, methodical troubleshooting, and clear technical documentation skills.
  • RHCSA/RHCE or CKA/CKAD/CKS certifications are listed.

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