Site Reliability Engineer

Akamai Technologies operates a distributed cloud and edge platform supporting secure, reliable digital experiences at global scale. The Site Reliability Engineer will improve the reliability, performance, and scalability of compute products and platforms by troubleshooting distributed systems, building automation, applying AI-assisted tooling, and leading operational improvements and incident response.

Responsibilities:

• Troubleshooting complex issues across Linux systems, networking, and distributed services
• Building software and automation that reduce operational toil, improve efficiency, and prevent recurring issues
• Developing and applying AI-assisted tooling to accelerate incident investigation, identify operational patterns, reduce toil, and improve reliability
• Using data analysis, network diagnostics, and debugging tools to identify performance and reliability improvements
• Establishing and improve monitoring, alerting, SLIs, and SLOs for critical services
• Contributing to root cause analysis, post-incident reviews, and long-term corrective actions
• Partnering with Engineering teams to improve system design, deployment safety, and operational readiness
• Participating in an on-call rotation and providing leadership during incident response, driving timely service restoration, effective communication, and post-incident improvement efforts

Requirements:

• Citizenship required: No
• Is Security Clearance required: No
• Have relevant experience and a Bachelor's degree in Computer Engineering, Computer Science or equivalent
• Have experience supporting large-scale distributed systems
• Have Linux and networking knowledge, including routing, DNS, firewalls, TCP/IP, and L7 traffic management
• Be proficient in a programming language such as Python or Go
• Have experience with observability tools such as Prometheus, Grafana, Loki, ELK/OpenSearch, or similar
• Have experience with infrastructure automation or configuration management tools such as Terraform, Ansible, Salt, or similar
• Be familiar with container technologies such as Docker or Podman and orchestration platforms such as Kubernetes or Nomad