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 We are inviting a DevOps Engineer to work in a top-notch DevOps team, which includes more than 30 talented specialists and continues to grow.