Middle DevOps Engineer

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. This is an unique opportunity to become part of a high-performing team, working with industry best practices and modern methodologies. You’ll have the chance to take ownership, contribute to key projects, and excel in a dynamic and collaborative environment. 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