jobapplier

Middle DevOps Engineer

Sigma Software

Skills

Required

  • CI/CD / Azure DevOps / Jenkins
  • AWS / Microsoft Azure
  • Terraform
  • Kubernetes
  • Helm
  • IAM
  • observability
  • networking
  • documentation
  • GitHub
  • Prometheus / Grafana / OpenTelemetry / CloudWatch / Azure Monitor / ELK / OpenSearch
  • Python

Preferred

  • CI/CD pipelines
  • automated validation
  • security scanning
  • rollback mechanisms
  • Docker
  • cloud networking
  • Exposure to platform architecture design and cloud governance practices
  • 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!

About Sigma Software

  • 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?
  • 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.

Responsibilities

  • 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

Requirements

  • 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

Preferred

  • Experience mentoring junior engineers