Senior DevOps Engineer

• DevOps/SRE experience of at least 4 years and confident practical work with Linux, Docker and Kubernetes.

• Practical experience in Kubernetes cluster administration and application delivery via Helm or Kustomize.

• Experience with Yandex Cloud or other public cloud: Kubernetes, container registry, networks, IAM, object storage, monitoring and access management.

• Confident knowledge of CI/CD tools: GitLab CI, Jenkins, Argo CD or analogues; understanding the GitOps approach.

• Experience Terraform, Ansible, or other IaC tools.

• Understanding networks, TLS, reverse proxy, ingress, DNS, load balancing, and zero trust principles.

• Hands-on experience with Prometheus, Grafana, Loki/ELK, OpenTelemetry or similar observability tools.

• Understanding the principles of safe operation: RBAC, secrets management, image scanning, vulnerability management, backup and disaster recovery.

It will be an advantage:

• Experience in operating GPU loads, model serving, vLLM/TGI/Triton or similar inference services.

• Experience with Kafka/RabbitMQ, PostgreSQL, Redis, S3-compatible storage and service mesh.

• Knowledge of OPA, Vault, Keycloak, Istio or similar policy enforcement and access control tools.

• Work experience in an industrial company, in isolated segments and environments with high security requirements.

• Deploy and maintain GenAI platform services in Kubernetes on-prem and in Yandex Cloud: API services, Agent Runtime, RAG, queues, databases, and observability components.

• Develop infrastructure as code: Helm, Kustomize, Terraform or similar tools; ensure reproducibility of dev, test, stage and production environments.

• Configure and maintain CI/CD: build images, quality and security checks, publish to registry, rollout/rollback, configuration version control.

• Ensure network connectivity and secure boundaries between on-prem and Yandex Cloud: DNS, ingress, TLS, routing, VPN/dedicated channels, segmentation, and secret management.

• Configure monitoring, logging, and tracing: availability and performance metrics, SLI/SLO, alerting, incident analysis, and capacity planning.

• Support GPU and CPU workloads, including resource planning, autoscaling, queues, and isolation of inference, sandbox, and batch tasks.

• Work with development, data/ML and information security teams: determine operational requirements, conduct technical reviews, participate in emergency work and postmortem.

• Work in a stable company (resident Astana Hub);
• Assistance and support in professional and career growth (individual development plan, mentoring, internal training system);
• A friendly team atmosphere and work with excellent specialists;
• Professional Certificate Compensation Program;
• A good social package (free corporate English courses, sports subscription compensation, loyalty program, etc.).