DevOps Specialist

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.

Responsibilities

• 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

Requirements

• 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