Middle DevOps Engineer at Sigma Software

Job description

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