Middle DevOps Engineer

Company Description

Are you a DevOps Engineer interested in building scalable, and secure infrastructure? Do you thrive in both autonomous work and team collaboration, taking area of responsibility and delivering results? If you enjoy working directly with the Customer, delivering high-quality solutions to meet their business needs and exceed expectations, we will be glad to have you as part of our team! 

This is an excellent opportunity for you to work as part of a skilled team in a multi-national environment in the world-leading telecommunications enterprise. 

CUSTOMER

Our Customer is one of the top-ranking telecom infrastructure companies globally, with nearly 100,000 employees. It delivers products and services needed for mobile and fixed-line communication, radio networks and transmission networks. More than 40% of phone calls are made through their systems and more than 2 billion people worldwide use their network. 

PROJECT

Our team helps the Customer (telecom provider) to migrate applications to the cloud infrastructure, implement CI/CD, security and administration best practices using modern DevOps tools.  You will be a part of a team bringing the organization's DevOps practices to modern standards to reduce costs and boost efficiency.

 

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

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