DevOps Engineer (вакансія неактивна)

About the Role

We are looking for a Senior DevOps / Platform Engineer to help us design, build, and scale reliable cloud infrastructure. You will play a key role in improving system resilience, automation, and engineering practices across teams.

This role is ideal for someone who combines deep technical expertise with a proactive mindset and enjoys enabling teams through strong DevOps culture and platform thinking.

Key Responsibilities

• Design, build, and maintain scalable, secure cloud infrastructure
• Develop and manage Infrastructure as Code (IaC) solutions
• Build and optimize CI/CD pipelines to support fast and reliable delivery
• Ensure high system availability, performance, and resilience
• Implement and improve monitoring, logging, and alerting systems
• Support and guide development teams on DevOps best practices
• Drive automation across environments and processes
• Contribute to multi-cloud and platform strategies
• Troubleshoot and resolve complex production issues

Requirements

Experience

• 5+ years of experience in DevOps / Platform Engineering / SRE
• Proven experience designing and supporting production-grade systems
• English C1 (Advanced)

Operating Systems & Fundamentals

• Strong experience with Linux/Unix systems administration
• Solid understanding of networking, system internals, and server architecture

Version Control & Collaboration

• Proficiency with Git (branching strategies, workflows, collaboration)

Cloud & Virtualization

• Hands-on experience with Azure and cloud-native services
• Experience with multi-cloud environments (Azure, GCP) is a strong plus

Infrastructure & Automation

• Strong experience with Infrastructure as Code tools:
  
  • Terraform, Ansible, CloudFormation
• Experience building and maintaining CI/CD pipelines:
  
  • Jenkins, GitLab CI, GitHub Actions, ArgoCD

Containers & Orchestration

• Strong hands-on experience with Docker
• Experience with Kubernetes (deployments, cluster management)

Monitoring & Logging

• Experience with observability tools:
  
  • Prometheus, Grafana, ELK/EFK stack, CloudWatch, etc.

Databases & Distributed Systems

• Basic knowledge of databases and streaming systems:
  
  • PostgreSQL, MongoDB, Kafka, etc.