Senior DevOps Engineer (AI-Driven Infrastructure)

We are looking for a Senior DevOps Engineer to work in a complex, multi-layer infrastructure environment with a strong focus on automation and AI-driven productivity.

You will be responsible for building, maintaining, and optimizing infrastructure across on-prem environments, while leveraging AI tools to significantly speed up development and integration workflows.

Responsibilities
Build and maintain on-prem infrastructure
Work with multi-layer architecture:
Develop and maintain Infrastructure as Code (Python-based)
Adapt infrastructure for new client environments
Implement and improve CI/CD pipelines (GitLab)
Perform zero-downtime deployments and migrations
Configure and maintain: monitoring, logging, alerting systems
Troubleshoot issues across: infrastructure, networking, application layers
Collaborate with engineering teams to improve delivery

Key Focus
Fast adaptation of infrastructure for new clients
Handling complex integrations (APIs, hosting providers, CDN, etc.)
Supporting production environments without downtime
Improving delivery speed using AI tools

Requirements
5+ years in DevOps / Infrastructure / SRE
Strong hands-on experience with: Kubernetes, Docker / container runtimes, Linux (Debian/Ubuntu)
Experience with: virtualization (KVM, LXC), on-prem or hybrid infrastructure, CI/CD experience (GitLab preferred)
Experience with Infrastructure as Code (Python or similar)
Solid understanding of: networking (L4/L7), load balancing (Nginx)
Experience with databases (MySQL, replication is a plus)
Strong troubleshooting skills
Ability to work independently

AI Expectations
Experience using AI tools for: code generation, working with documentation
Ability to: quickly generate infrastructure code, review and refine AI-generated outputs
Understanding how AI can reduce delivery time from weeks to days