16 часов назад
DevOps Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (Azure/Kubernetes): Designing and maintaining scalable Kubernetes-based infrastructure and Azure DevOps CI/CD pipelines with an accent on automation, reliability, and infrastructure security. Focus on troubleshooting production systems, implementing secrets management and access control, and driving incident response and continuous improvement.
Location: Remote within Europe, Albania, Poland, Portugal, Romania, Spain, or Ukraine
Company
Software engineering company with a large DevOps team of more than 30 specialists, focused on modern technologies, industry best practices, and collaborative delivery.
What you will do
- Plan infrastructure and environment architecture and maintain existing environments.
- Design, implement, and improve Azure DevOps CI/CD pipelines, YAML templates, and automation.
- Build and maintain scalable Kubernetes-based environments using Docker and infrastructure-as-code tools.
- Optimize infrastructure performance, reliability, and operational efficiency.
- Troubleshoot production infrastructure, networking, and application delivery issues.
- Implement security controls, secrets management, access control, incident response, and post-incident improvements.
Requirements
- 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer.
- Strong hands-on experience with Docker, Kubernetes, CI/CD pipelines, and Azure DevOps.
- Experience with YAML pipelines, reusable templates, approval gates, Azure Repos governance, build agents, and Azure Artifacts.
- Practical experience with Terraform and/or Ansible, plus scripting with Bash, Python, or PowerShell.
- Knowledge of monitoring and observability tools, infrastructure and application security, secrets management, TLS certificates, least privilege, network segmentation, and isolated environments.
- Upper-Intermediate English required.
Nice to have
- AWS experience with EC2, S3, IAM, RDS, and VPC.
- Experience with AI infrastructure, LLM-powered services, or production AI workloads.
- Knowledge of Azure AI Foundry, OpenAI APIs, Anthropic APIs, AI-related CI/CD automation, or AI data protection and audit logging.
- Experience using AI coding assistants such as GitHub Copilot or Claude Code.
Culture & Benefits
- Flexible schedule and remote work.
- Access to offices for those who choose to use them.
- Health and legal support.
- Continuous education and an active professional community.
- Sports, community activities, diverse business domains, and a variety of technologies.
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