Description

KEY RESPONSIBILITIES

•    Own and maintain CI/CD pipelines across multiple engineering teams (GitHub Actions, Cloud Build, or equivalent)

•    Manage GCP infrastructure using Terraform and infrastructure-as-code tooling

•    Administer GKE clusters, containerized workloads, and Kubernetes infrastructure

•    Support MLOps pipeline needs including model deployment workflows and container registry management

•    Implement and maintain monitoring, alerting, and observability tooling (Cloud Monitoring, Grafana, etc.)

•    Drive reliability engineering practices: SLOs, incident response, and runbooks

•    Manage secrets, IAM policies, and platform security configurations

REQUIRED QUALIFICATIONS

•    3+ years of DevOps or platform engineering experience

•    Hands-on experience with GCP services: GKE, Cloud Build, Artifact Registry, Cloud Storage, IAM

•    Proficiency in Terraform or equivalent infrastructure-as-code tooling

•    Strong Kubernetes administration skills (deployment, scaling, networking, RBAC)

•    Experience building and maintaining CI/CD pipelines

•    Solid scripting ability in Python, Bash, or similar

PREFERRED QUALIFICATIONS

•    Experience supporting ML/AI workloads (model serving infrastructure, GPU provisioning)

•    GCP Professional DevOps Engineer or Cloud Architect certification

•    Familiarity with ArgoCD, Helm, or GitOps workflows

•    Retail or high-transaction-volume system experience

Key Skills

Education

Bachelor's degree