DevOps/ML Engineer

Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) Manage cloud infrastructure on AWS / Azure / GCP using Terraform or CloudFormation (IaC) Support containerization and orchestration via Docker and Kubernetes Monitor system health, respond to incidents, and implement SLO/SLA tracking Collaborate with development teams to optimize deployment workflows Implement security best practices (secrets management, IAM, network policies) Participate in on-call rotation as needed

5+ years of DevOps / Platform Engineering experience Strong proficiency with cloud platforms (AWS preferred) Experience with Kubernetes (EKS, GKE, or AKS) Proficiency with Terraform or equivalent IaC tooling Solid understanding of CI/CD principles and GitOps workflows Experience with observability tooling (Datadog, Grafana, Prometheus, or equivalent) Strong scripting skills (Bash, TypeScript or Python) PREFERRED QUALIFICATIONS Experience with AI/ML infrastructure (GPU workloads, model serving) Familiarity with Nx monorepo or similar large-scale build systems Experience with LLM API integrations or AI platform tooling AWS certifications (Solutions Architect, DevOps Engineer) TECH STACK HIGHLIGHTS AWS Kubernetes Terraform Docker GitHub Actions TypeScript or Python Bash Datadog / Grafana GitOps IaC LLM / AI Platform