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zehnmind.ai

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DevOps Engineer (Middle)

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Summary

DevOps Engineer (Middle) in Tashkent who keeps the company's production infrastructure reliable: administering Kubernetes/Docker and Linux servers, building CI/CD with GitHub Actions, managing virtualization, networks/VPN, databases, backups, and monitoring with Prometheus and Grafana.

We're looking for a DevOps Engineer to maintain our IT infrastructure, automate CI/CD and keep our production services running reliably.

Responsibilities:

  • Administer Kubernetes, Docker and Docker Compose
  • Set up and maintain CI/CD pipelines with GitHub Actions
  • Maintain Nexus Repository and SonarQube
  • Administer Linux servers and virtual infrastructure
  • Support physical servers, networks and VPN
  • Monitor systems, diagnose and resolve issues
  • Organize backups and service recovery

Requirements:

Linux & servers

  • Solid Linux administration skills (Ubuntu/Debian)
  • Understanding of server hardware: CPU, RAM, RAID, HDD/SSD
  • Experience with IPMI/iDRAC/iLO and VMware ESXi or Proxmox

Kubernetes & Docker

  • Hands-on experience with Kubernetes, Docker and Docker Compose
  • Knowledge of Pods, Deployments, Services, Ingress, Secrets, PVC
  • Ability to deploy and troubleshoot applications

CI/CD

  • Experience configuring GitHub Actions and self-hosted runners
  • Working with Git, Nexus Repository and SonarQube
  • Basic Bash scripting

Networking & VPN

  • Understanding of TCP/IP, DNS, NAT, VLAN and routing
  • Knowledge of WireGuard, OpenVPN, IPsec
  • Experience with Nginx, reverse proxy and SSL/TLS

Databases & storage

  • Basic knowledge of PostgreSQL and MongoDB
  • Understanding of MinIO and S3
  • Backup and recovery skills

Monitoring

  • Basic experience with Prometheus and Grafana
  • Ability to analyze logs and troubleshoot issues

Nice to have:

  • Helm, Argo CD, Ansible, Terraform
  • HAProxy, Patroni, NAS/SAN
  • Keycloak, SSO, OAuth 2.0
  • Experience building fault-tolerant infrastructure
  • Experience with AI/ML infrastructure, MLOps or AIOps
  • Deploying AI models, working with GPU servers and AI services

What we expect:

  • 2+ years of experience in DevOps or system administration
  • Ability to solve technical problems independently
  • Understanding of infrastructure end to end, from the physical server to the application
  • Responsibility, initiative and a systematic approach to work

Skills

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See also

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