AI First DevOps Engineer
Core
Build self-service platforms and evolve cloud infrastructure to power the reliability, security, and efficiency of a global weather platform, weaving AI into operations.
Role type
Senior DevOps Engineer (AI-integrated)
Builds
Self-service platforms, cloud infrastructure, and observability tools for developers and weather scientists
Domain
Cloud Infrastructure & AI Operations
Deliverable
production ML models | infrastructure
Required skills
Cloud infrastructure (GCP/AWS/Azure), Infrastructure as Code (Terraform, Crossplane), Kubernetes (GKE/AKS), CI/CD pipelines, Observability (Datadog, Grafana, Loki, Prometheus), Software engineering craft, AI tooling (agents, rules, integrations)
Preferred skills
Kubernetes-native approaches, GitOps, Python/Go
Technologies
GCP, Azure, AWS, Linux, Kubernetes, Helm, KEDA, Argo Workflows, External Secrets, Cloud Run, Cloud Functions, Terraform, Crossplane, GitHub Actions, ArgoCD, Datadog, Grafana, Loki, PostgreSQL, MongoDB, Redis, Cloudflare, Kong, Google LB, CloudFront, Python, Go, Node.js, React
Responsibilities
Evolve and maintain cloud infrastructure and self-service platforms; Develop and adopt AI-centric tools to improve efficiency; Partner with engineering teams to improve performance, reliability, scale, and cost; Maintain production availability and manage on-call incidents; Build internal tools from developer feedback and measure success with metrics
Seniority
Senior, hands-on IC