Infrastructure & Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA
Riyadh, Saudi Arabia
USD 158K-237K (estimate) Senior-level Full Time
Tasks
- Analyze requirements with architecture and hardware teams
- Apply SRE monitoring alerting incident response
- Build deploy and operate LLM inference components
- Build observability dashboards and alerts
- Create technical documentation and runbooks
- Design deploy and operate AI inference systems
- Develop automation for operational tasks
- Develop software tools for AI infrastructure
- Ensure reliability availability and scalability
- Implement Infrastructure as Code with Terraform and Ansible
- Implement workload optimizations for multi SoC and multi card systems
- Monitor infrastructure using telemetry and logs
- Operate distributed systems with high availability and fault tolerance
- Support CI CD pipelines for AI services
- Support production ML systems with MLOps
Perks/Benefits
- Child education allowance
- Employee stock purchase scheme
- Health reimbursement
- Immigration support
- Life insurance
- Maternity leave
- Medical insurance
- Paternity leave
- Relocation support
- Stock bonus
- Wellbeing membership
Skills/Tech-stack
Alerting | Ansible | Bash | CI/CD | Checkpointing | CloudWatch | Containers | DNS | Distributed Systems | Distributed inference | ELK | Fault Tolerance | GRPC | Grafana | HTTP | High Availability | Incident Response | Infrastructure as Code | JAX | Language Models | Large Language Models | Linux | Logging | Loki | MLOps | Monitoring | NLP | Networking | Performance optimization | Prometheus | PyTorch | Python | Ray | Slurm | TLS | TensorFlow | Terraform | Token streaming | “as-code”
Education
Regions
Countries
States
Cities
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