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

Qualifications

• 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