DevOps Engineer

About the job ABOUT ICTERRA ICterra is a global software engineering company with offices in Munich, İstanbul and Ankara. We combine 30 years of software development experience with technology expertise and proven methodologies to provide innovative solutions to our customers across multiple industries globally. With 150+ software professionals, we have been building strategic partnerships with the world’s top IT and defence companies, providing software development and test services. We are expanding our engineering team and looking for a skilled DevOps Engineer to help us improve reliability, automation, and operational excellence. There will be onsite work environment during onboarding / ramp up period. What You Will Do Design, build, and maintain CI/CD pipelines using Jenkins, GitLab CI, or similar tools. Manage and automate containerized environments (Docker, Docker Swarm, Kubernetes preferred). Implement and improve Infrastructure as Code (Terraform, Ansible, Helm). Work closely with developers to automate build, test, and deployment workflows. Manage On-premise and cloud infrastructure on Azure, AWS, and/or OCI. Monitor, troubleshoot, and optimize system performance, logs, and alerts. (Prometheus, Grafana, ELK/Elastic Stack, etc.) Implement and maintain DevSecOps practices (security scanning, compliance, secrets management). Support versioning, packaging, and artifact management (Nexus, GitLab Package Registry). Strong scripting ability in Python and Bash/Shell for automation and tooling Contribute to automation of database operations where relevant (Oracle, PostgreSQL, MSSQL, SAP HANA, MongoDB). Required Qualifications Minimun 5 years of experience as a DevOps, Cloud Engineer, or Systems Engineer. Strong experience with CI/CD pipelines and automation. Hands-on experience with containers and orchestration (Docker Swarm, Kubernetes). Solid understanding of Linux systems, networking basics, and shell scripting. Experience with Terraform, Ansible, or other IaC tools. Experience with monitoring stacks (Prometheus, Grafana, ELK, Loki). Experience with public cloud (Azure preferred). Familiarity with Git, branching strategies, and SDLC processes. Nice-to-Have Skills Understanding of ML/AI pipelines, model deployment (MLOps), or integrating AI-based tools into DevOps workflows is a plus. Experience working with AI-driven monitoring, anomaly detection, or automation tools is considered an advantage. Experience with Yocto or embedded Linux build systems