Owning reliability workstreams for Akamai's serverless inference platform
Building automation and tooling, contributing to architecture and operational decisions
Managing observability for AI workloads, including telemetry, dashboards, alerts, SLO/SLI tracking
Writing automation and tooling to reduce operational toil and improve incident response
Integrating AI workloads into incident management processes
Collaborating with product engineering teams to improve reliability and ensure operational readiness for product releases
Contributing to capacity planning, autoscaling configuration, and workload scheduling for AI compute infrastructure

5+ years of experience in SRE, infrastructure engineering, or platform engineering, working with large-scale distributed systems
Extensive experience with Kubernetes and containerization at scale
Experience defining SLOs and working with observability tools such as Prometheus, Grafana, and distributed tracing
Coding ability in Python or Go for automation and tooling, with experience in CI/CD pipelines, deployment safety, and infrastructure-as-code
Interest in or experience with AI/ML infrastructure, model serving, or GPU workloads
Ability to take ownership of problems and drive them to resolution independently

Senior Site Reliability Engineer

Key skills