Senior Site Reliability Engineer

Senior Site Reliability Engineer, Core42 – Abu Dhabi, UAE

About Us

Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.

The Opportunity

As a Senior Site Reliability Engineer, you will be responsible for designing, implementing, and operating scalable, reliable, and secure infrastructure to support large-scale AI and HPC workloads. You will play a key role in building and maintaining CI/CD pipelines, Kubernetes-based environments, and observability systems that ensure high availability and performance across globally distributed platforms.

Working closely with engineering, product, and operations teams, you will drive automation, enforce SRE best practices, and contribute to a resilient and efficient infrastructure ecosystem that supports mission-critical applications.

Your Key Responsiblities

• CI/CD \& Automation: Design, build, and maintain robust CI/CD pipelines using tools such as GitLab CI, Azure DevOps, and/or Jenkins to enable rapid and secure software delivery
• Kubernetes Operations: Operate, manage, and optimize Kubernetes clusters, ensuring scalability, performance, and resilience
• Infrastructure as Code: Develop and maintain infrastructure using Terraform, Helm, Ansible, or similar tools to automate provisioning and configuration
• Observability \& Monitoring: Implement and manage monitoring solutions using Prometheus, VictoriaMetrics, Grafana, and ELK/EFK to ensure system health and performance
• Incident Management: Lead root cause analysis (RCA), post-mortems, and continuous improvement initiatives to enhance system reliability
• Reliability Engineering: Define and implement SRE best practices, including SLAs, SLOs, and error budgets
• Logging \& Alerting: Build and maintain logging, alerting, and tracing systems for proactive issue detection and rapid troubleshooting
• Security \& Compliance: Enforce security best practices and compliance standards across CI/CD pipelines and runtime environments; support audit readiness
• Collaboration: Work cross-functionally with engineering, product, and infrastructure teams to align platform capabilities with business needs
• Mentorship: Provide guidance and mentorship to junior engineers and contribute to knowledge sharing across teams
• On-call Support: Participate in on-call rotations to support critical platform services

What we're looking for

Required Skills/Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
• 5\+ years of experience in DevOps, Site Reliability Engineering, or platform engineering roles in production environments
• Proven experience managing Kubernetes clusters (e.g., GKE, EKS, AKS, or self-managed)
• Hands-on experience with CI/CD tools and automation frameworks
• Strong experience with infrastructure-as-code tools such as Terraform, Helm, or Ansible
• Proficiency in container technologies (Docker, containerd) and orchestration with Kubernetes
• Strong scripting/programming skills (e.g., Python, Bash, Go)
• Experience with observability and monitoring stacks (Prometheus, Grafana, ELK/EFK)
• Solid understanding of Linux systems, networking concepts, and cloud-native security best practices

Preferred Skills/ Qualifcations

• Experience supporting AI/ML or HPC workloads in production environments
• Knowledge of GPU resource management, workload schedulers, and performance tuning
• Familiarity with distributed systems and large-scale infrastructure environments
• Experience with incident management frameworks and reliability engineering practices
• Strong collaboration and communication skills across cross-functional teams