What we do msg global is a consulting and system integration company with a strong focus on the insurance and reinsurance industry. We help clients design, transform, and implement integrated IT architectures, delivering high‑quality SAP‑based solutions tailored to insurance and reinsurance needs. What we are looking for We are looking for a motivated DevOps Engineer with 2–4 years of hands-on experience in cloud infrastructure, CI/CD automation, containerization, and application deployment. The ideal candidate should be comfortable working with AWS, GitLab pipelines, Jenkins, Docker, Kubernetes, Helm charts, Windows and Linux environments, monitoring tools, and troubleshooting across build, deployment, and runtime layers. What you will do 2–4 years of experience in DevOps, Cloud, Platform Engineering, or Infrastructure Engineering roles. Build, maintain, and optimize CI/CD pipelines using GitLab and Jenkins. Deploy and manage applications and services on AWS cloud environments. Create and maintain Docker images, Dockerfiles, and container registries. Deploy and troubleshoot workloads on Kubernetes clusters. Use Helm charts for packaging, configuration, and deployment of applications. Support infrastructure automation, release activities, and environment management. Monitor application and infrastructure health using tools such as Grafana, Prometheus, CloudWatch, or ELK. Troubleshoot issues across application, infrastructure, network, and CI/CD layers Work with both Windows and Linux systems, scripting, logs, services, and command-line tools for deployment support, debugging, and automation. Follow DevOps best practices for automation, documentation, security, and operational reliability. Hands-on experience with CI/CD concepts and pipeline automation. Nice to have Experience in creating and maintaining GitLab pipelines using YAML-based configuration. Working knowledge of Jenkins for build, deployment, and release automation. Good understanding of AWS services such as EC2, S3, IAM, VPC, or EKS. Good experience with Docker, including Dockerfiles, image builds, tagging, scanning, and registry usage. Practical understanding of Kubernetes concepts such as pods, deployments, services, ingress, config maps, secrets, and namespaces. Experience using Helm charts for Kubernetes application deployment and configuration management. Strong understanding of Windows and Linux environments, scripting, log analysis, services, permissions, and basic networking concepts. Familiarity with monitoring and logging tools such as Grafana, Prometheus, CloudWatch, or ELK. Exposure to Infrastructure as Code tools such as Terraform or Ansible is desirable. Good communication, ownership, documentation, and problem-solving skills. What we offer An inclusive team that values diversity and expertise Competitive salary and benefits Exposure to global clients and complex AI transformation projects A key role in shaping AI adoption in insurance and reinsurance Strong growth path within a specialized consulting organization