Middle DevOps Engineer (GCP)

Job description

Work type: Office/Remote Technical Level: Middle Job Category: Software Development Project: Intralogistics innovator 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