Middle DevOps Engineer (GCP)

N-iX · Europe; Ukraine

  • Junior
  • Full-time
  • Posted 2026-08-04
  • Confirmed live on 25 September 2026

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Job description

We are looking for a Middle DevOps Engineer (GCP).

Responsibilities:

• Infrastructure as Code (IaC): Design, deploy, and manage scalable cloud infrastructure using Terraform and Ansible.

• Cloud Platform Management: Administer and optimize Google Cloud Platform (GCP) environments, including IAM roles, VPCs, network peering, and billing management.

• CI/CD & GitOps: Build, optimize, and maintain automated pipelines using Jenkins and GitLab CI. Implement GitOps workflows for infrastructure and application repositories.

• Containerization & Orchestration: Manage containerized applications running on Docker and Kubernetes.

• System Automation: Write efficient scripts (Bash, Python, or PowerShell) to automate operational routines, security patching, and system maintenance.

• Platform & Observability Integration: Integrate enterprise SaaS platforms (e.g., performance and resource optimization tools like IBM Turbonomic) into existing GCP setups.

• Collaboration & Operations: Partner with cross-functional technical teams, participate in shift coverage/patching cycles, and troubleshoot infrastructure issues to meet SLA standards.

Requirements & Qualifications:

• GCP Proficiency: Solid hands-on experience with Google Cloud Platform (Compute Engine, IAM, VPC networks, GKE, service accounts).

• IaC Expertise: Strong skills with Terraform (module design, state management) and Ansible for configuration management.

• CI/CD & Automation: Experience configuring Jenkins pipelines and GitLab CI/CD. Familiarity with GitOps principles.

• Scripting: Proficiency in Bash, Powershell and Python.

• Containers: Direct experience with Docker and basic to intermediate Kubernetes administration.

• Networking & Security: Practical understanding of cloud networking (subnets, routing, firewalls, peering) and cloud security best practices.

• Server Administration: Linux (Ubuntu, Debian, RedHat) and Windows.

• Proven AI experience is required.

Nice to have:

• Experience with cloud optimization and monitoring platforms (e.g., Turbonomic, Datadog, Prometheus, Crowdstrike).

• Knowledge of Windows Server administration / PowerShell scripting alongside Linux setups.

• Experience with Azure.

• Golang knowledge is a strong advantage.

We offer*:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers

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