DevOps инженер

MarvelX builds AI agents for regulated industries such as insurance and financial services. Systems operate in production environments where reliability, security, and observability are prioritized alongside model quality.

• 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 including metrics, logs, tracing, and alerting;
• Support AI/ML workloads such as model serving, batch jobs, and 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 such as Prometheus, Grafana, ELK, or OpenTelemetry;
• Linux and scripting skills (Bash, Python, etc.);
• Interest or experience supporting AI/ML systems;
• Nice to have: GPU scheduling, ML platform experience, Helm, Kustomize, exposure to security and compliance environments (SOC 2, ISO 27001).

• Competitive salary;
• Equity.