Design, deploy, and manage GCP infrastructure using Terraform and Ansible; build CI/CD pipelines (Jenkins, GitLab CI) and GitOps workflows; manage Docker/Kubernetes workloads; write automation scripts (Bash, Python, PowerShell); integrate observability platforms; collaborate with teams and support operational SLAs.
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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