DevOps engineer for AI agents

MarvelX builds AI agents for regulated industries such as insurance and financial services. Our systems run in real production environments where reliability, security, and observability matter as much as model quality. We’re looking for a DevOps / Platform Engineer to own and evolve our cloud and Kubernetes infrastructure. You will work closely with Product, Engineering, and ML to keep our platform scalable, secure, and production-ready as we grow.

• Own and operate Kubernetes clusters running production workloads
• Build and maintain infrastructure across AWS, GCP, and Azure
• Define infrastructure as code using Terraform
• Build and maintain GitLab CI/CD pipelines
• Containerize and deploy services using Docker
• Implement observability: metrics, logs, tracing, alerting
• Support AI/ML workloads (model serving, batch jobs, GPU workloads)
• Improve reliability, security posture, and cost efficiency
• Partner with engineering to design production-ready architectures

• Strong hands-on experience operating Kubernetes in production
• Experience with at least one major cloud provider (AWS, GCP, or Azure)
• Solid Terraform experience managing real infrastructure
• GitLab CI/CD or similar pipeline tooling experience
• Strong Docker fundamentals
• Experience with observability tooling (Prometheus, Grafana, ELK, OpenTelemetry, or similar)
• Linux and scripting skills (Bash, Python, etc.)
• Interest or experience supporting AI/ML systems
• Будет плюсом: multi-cloud experience; GPU scheduling / ML platform experience; Helm or Kustomize; Exposure to security and compliance environments (SOC 2, ISO 27001)

• This is a full-time, hybrid role (office-first, up to 1 day/week remote).
• Own the platform of a production AI company
• Small, senior, highly technical team
• Direct impact on reliability, security, and scale
• Competitive salary + equity