The company, a leader in AI-powered cloud and digital infrastructure, is seeking a Senior Site Reliability Engineer in Abu Dhabi, UAE. This role involves designing, implementing, and operating scalable, reliable, and secure infrastructure to support large-scale AI and High-Performance Computing (HPC) workloads. You will be pivotal in building and maintaining CI/CD pipelines, Kubernetes-based environments, and observability systems, ensuring high availability and performance across globally distributed platforms. Collaborating with engineering, product, and operations teams, you will drive automation, enforce SRE best practices, and contribute to a resilient infrastructure ecosystem critical for mission-driven applications.
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Key Responsibilities
- Design, build, and maintain robust CI/CD pipelines using tools like GitLab CI, Azure DevOps, and/or Jenkins.
- Operate, manage, and optimize Kubernetes clusters for scalability, performance, and resilience.
- Develop and maintain infrastructure using Terraform, Helm, Ansible, etc.
- Implement observability solutions with tools such as Prometheus, Grafana, and ELK/EFK.
- Lead root cause analysis and post-mortems for continuous system reliability improvements.
- Define and implement SRE best practices, including SLAs, SLOs, and error budgets.
- Build and maintain logging, alerting, and tracing systems for proactive issue detection and troubleshooting.
- Enforce security best practices and compliance standards within CI/CD pipelines and runtime environments.
- Collaborate with cross-functional teams to align platform capabilities with business needs.
- Mentor junior engineers and support knowledge sharing across teams.
- Participate in on-call rotations to support critical services.
Required Skills/Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years in DevOps, Site Reliability Engineering, or platform engineering roles in production environments.
- Proven experience with Kubernetes clusters (GKE, EKS, AKS, or self-managed).
- Hands-on experience with CI/CD tools and automation frameworks.
- Strong familiarity with infrastructure-as-code tools like Terraform and Ansible.
- Proficiency in container technologies such as Docker and orchestration with Kubernetes.
- Strong scripting/programming skills (Python, Bash, Go).
- Experience with observability and monitoring stacks (e.g., Prometheus, Grafana).
- Solid understanding of Linux systems, networking concepts, and cloud-native security best practices.
Preferred Skills/Qualifications
- Experience with 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.
- Understanding of incident management frameworks and reliability engineering practices.
- Strong collaboration and communication skills across teams.
Language Requirements
- [Specify any language requirements if mentioned in original context.]
This position at the company represents an exciting opportunity to be at the forefront of AI innovation and contribute toward redefining digital transformation within the Middle East and beyond.
Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
