DevOps Engineer
Core
Design, deploy, operate, and secure scalable cloud infrastructure for AI and agentic products, including managing Databricks clusters, ML pipelines, and model-serving endpoints.
Role type
Senior DevOps Engineer (AI/ML Infrastructure)
Builds
Production ML model-serving capacity, CI/CD pipelines, and secure cloud infrastructure for AI products
Domain
Cloud Infrastructure, AI/ML, MLOps
Deliverable
production ML models | infrastructure
Required skills
Terraform, Kubernetes, AWS services, CI/CD pipelines, Linux administration, Python scripting, Databricks, observability, incident response
Preferred skills
Google Cloud, multi-cloud, Helm, service mesh (Istio/Linkerd), serverless architectures, FinOps, vulnerability management, MLOps
Technologies
Terraform, Terragrunt, CloudFormation, Kubernetes, Amazon EKS, GitLab CI/CD, Jenkins, Databricks, Python, Bash, AWS, Google Cloud, Istio, Linkerd, Traefik
Responsibilities
Provision and manage cloud resources; implement cloud security controls; maintain containerized environments and orchestration platforms; automate configuration management and deployments; operate and scale Databricks clusters and ML pipelines; maintain monitoring and observability systems; support incident response and disaster recovery; partner with engineering and security teams.
Seniority
Senior, hands-on IC
