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 levelWILL 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