What you will be doing
- deploying and supporting ML infrastructure in Kubernetes: ML models, services, databases;
- configuring and optimizing inference services and monitoring systems;
- working with cloud services and managing infrastructure via Terraform;
- automating the deployment of ML services and interacting with the ML team;
- supporting ClearML for experiment management and training/deployment automation;
- optimizing CI/CD and model deployment, improving tools for experiments and monitoring;
- implementing service deployment via Helm charts and ArgoCD.
Stack: Kubernetes, Helm, ArgoCD, Terraform
What we expect
- DevOps/SRE experience of 3+ years
- experience with monitoring and alerting systems, creating dashboards (Prometheus, Grafana, Loki)
- deep understanding of DevOps practices and efficient CI/CD process organization methods
- experience with distributed systems, containers
- high proficiency in Linux and networking technologies
- ability to quickly find the right technical solutions and take responsibility for their implementation
- good IT orientation: networks, data processing, internet protocols, RPC, and others
