Middle DevOps Engineer

• Design and implement production infrastructure in AWS or Microsoft Azure within established architectural patterns • Build and maintain Infrastructure as Code using Terraform, including reusable modules and environment separation • Develop and improve CI/CD pipelines with automated validation, testing, security scanning, and rollback mechanisms • Deploy and support containerized workloads using Docker, Kubernetes, and Helm • Configure cloud networking, IAM/RBAC, workload identities, and secrets management • Build observability solutions using metrics, logs, and traces • Investigate and resolve production incidents across cloud platforms, Kubernetes, Linux systems, networking, and application runtime layers • Conduct root-cause analysis and implement preventive remediation measures • Review infrastructure and deployment changes prepared by peers • Clarify technical and operational requirements and translate them into implementable infrastructure solutions • Prepare technical documentation including architecture diagrams, runbooks, and recovery procedures • Maintain accurate documentation and operational reporting aligned with production environments • 2–5 years of hands-on experience supporting production systems and operational environments • Strong practical experience with AWS or Microsoft Azure • Strong Terraform expertise, including modules, state management, lifecycle configuration, and CI/CD integration • Hands-on experience with Kubernetes and Helm • Experience with CI/CD platforms such as GitHub Actions, GitLab CI/CD, Azure DevOps, or Jenkins • Practical understanding of security best practices including IAM, secrets management, certificate handling, and container security • Experience with observability and monitoring tools such as Prometheus, Grafana, OpenTelemetry, CloudWatch, Azure Monitor, ELK, or OpenSearch • Strong Linux administration and networking knowledge including TCP/IP, DNS, routing, TLS, and performance analysis • Shell scripting and automation experience • Basic Python knowledge will be beneficial • Ability to analyze requirements, identify risks and dependencies, and communicate technical decisions clearly • Experience using AI-assisted engineering tools responsibly for research, troubleshooting, automation, and documentation • Strong problem-solving and incident investigation skills • Upper-Intermediate English level WILL BE A PLUS• Experience with both AWS and Microsoft Azure • Experience defining and maintaining SLI/SLO practices • Knowledge of OpenTelemetry-based observability implementations • Experience with large-scale distributed production systems • Python development or advanced scripting skills • Experience mentoring junior engineers • Exposure to platform architecture design and cloud governance practices Are you a DevOps Engineer interested in building scalable, and secure infrastructure?