Middle DevOps Engineer

• Participate in infrastructure and environment architecture planning
• Design, implement, and improve CI/CD pipelines and automation processes
• Build and maintain scalable Kubernetes-based environments
• Optimize infrastructure performance, reliability, and operational efficiency
• Troubleshoot production infrastructure, networking, and application delivery issues
• Support and maintain existing environments
• Implement infrastructure security best practices, secrets management, and access control
• Collaborate closely with development teams on infrastructure-related topics
• Participate in incident response, root-cause analysis, and post-incident improvements
• Drive continuous improvement initiatives and recommend new technologies and practices

• 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer
• Strong hands-on experience with Docker and Kubernetes
• Solid experience with CI/CD pipelines in Azure DevOps
• Good knowledge of YAML pipelines, reusable templates, approval gates, and Azure Repos governance
• Experience managing Linux and Windows build agents and Azure Artifacts feeds
• Practical experience with Terraform and/or Ansible
• Strong scripting skills with Bash and Python or PowerShell
• Experience with monitoring and observability tools such as Grafana, OpenSearch, or Elasticsearch
• Strong understanding of infrastructure and application security principles
• Experience with HashiCorp Vault or similar secrets management solutions
• Experience managing TLS certificates and secure infrastructure configurations
• Understanding of least privilege, network segmentation, and isolated environments
• Experience troubleshooting production systems and participating in incident response
• Upper-Intermediate English level

WILL BE A PLUS:

• AWS experience with EC2, S3, IAM, RDS, and VPC
• Experience with AI infrastructure or LLM-powered services
• Knowledge of Azure AI Foundry, OpenAI APIs, or Anthropic APIs
• Experience monitoring and supporting AI workloads in production
• Experience integrating AI-related automation into CI/CD pipelines
• Practical use of AI coding assistants such as GitHub Copilot or Claude Code
• Knowledge of AI-related data protection and audit logging practices

PERSONAL PROFILE

• Proactive and ownership-driven mindset
• Strong communication and collaboration skills
• Strong analytical and problem-solving skills
• Ability to work effectively in a collaborative team environment
• Attention to detail and commitment to infrastructure reliability
• Eagerness to learn and explore new technologies