Own our entire platform engineering and SRE function using autonomous agents, LLM-powered pipelines, and MCP-based tooling
Inherit a mature, fully containerized AWS estate (9 EKS clusters, 27 accounts, 228 Kubernetes nodes)
Manage an Akamai CDN layer handling live traffic splits
Oversee GitHub Actions + Jenkins CI/CD pipelines for a Webpack 5 micro-frontend monorepo
Extend automation across AWS infrastructure, incident management, and deployment processes
Build and improve autonomous agents for monitoring, alerting, triage, and routine operational work
Own AWS infrastructure, CI/CD release management, CDN management, security, monitoring, and incident response

10+ years of hands-on DevOps, SRE, or platform engineering experience in production AWS cloud environments
Deep AWS expertise: EKS, EC2, SQS, CloudWatch, IAM, Organizations, and multi-account architectures
Strong Kubernetes skills: cluster operations, node group management, workload isolation, taints/tolerations, auto-scaling
Experience with Akamai or equivalent enterprise CDN — configuration, purge operations, traffic routing rules
CI/CD ownership: GitHub Actions and/or Jenkins pipeline design, monorepo build systems, release gating
Production experience building or operating AI agents — LLM integration, autonomous workflow design, prompt engineering
Proficiency in Node.js and/or Python for automation, tooling, and MCP server development
Observability stack ownership: Elastic/Kibana, log analysis, alerting design, SLO/SLI instrumentation
Comfortable owning on-call responsibility for a production e-commerce platform with significant revenue exposure
Strong written and verbal communication — will interface with engineering leadership and present findings to executives

Staff AI Platform Engineer

Key skills