Senior Site Reliability Engineer

Conteúdo da vaga extraído em seções para revisão mais rápida.

Building and maintaining observability for AI workloads, including telemetry, dashboards, alerts, SLO/SLI tracking, and driving improvements when targets are missed
Writing automation and tooling to reduce operational toil, improve deployment safety, and accelerate incident response
Integrating AI workloads into Akamai's existing incident management processes, building runbooks, participating in on-call rotations, and conducting blameless post-mortems
Building and maintaining CI/CD integrations, deployment safety checks, and rollback automation
Collaborating with product engineering teams to improve reliability, contribute to architecture decisions, 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
Have extensive experience with Kubernetes and containerization at scale
Have experience defining SLOs and working with observability tools such as Prometheus, Grafana, and distributed tracing
Possess 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
Possess the ability to take ownership of problems and drive them to resolution independently