Building and maintaining dashboards, alerts, and monitoring for inference workloads using Akamai's existing observability platform
Writing automation and tooling in Python or Go to reduce operational toil and improve system reliability
Building and improving runbooks for inference-specific operational procedures, integrating into Akamai's existing incident management processes
Contributing to SLO tracking and reporting, identifying trends and areas for improvement
Supporting CI/CD pipeline maintenance, deployment safety checks, and rollback procedures
Collaborating with product engineering teams to troubleshoot complex problems across the stack
Participating in on-call rotations, responding to production incidents, and conducting blameless post-mortems

2+ years of experience in Site Reliability Engineering
Bachelor's Degree or its equivalent experience
Coding ability in at least one programming language (Python or Go)
Experience with Linux systems administration and ability to troubleshoot complex infrastructure issues
Familiarity with Kubernetes and containerization concepts
Experience with monitoring and observability tools (Prometheus, Grafana, or similar)
Exposure to CI/CD pipelines and infrastructure-as-code tools (Terraform, SaltStack, or equivalent)
Willingness to learn and grow, with genuine curiosity about AI infrastructure and distributed systems

Site Reliability Engineer – II

Key skills