About the Position

We're seeking a Senior DevOps Engineer with Azure and Python experience to join a global tech innovator's team in Poland or Ukraine.

Responsibilities

Design, build, and maintain per-service CI/CD pipelines (GitLab CI today, with a migration to GitHub Enterprise / GitHub Actions in progress)
Support consolidation of multiple repositories into a single monorepo - build orchestration, selective CI triggers, automated builds and testing
Instrument services with Azure Application Insights: dashboards, alerting, synthetic monitoring, and log management
Harden environment promotion (dev → pre-prod → prod), deployments, and secrets management
Deploy and operate services on pre-provisioned Azure resources (provisioning itself is handled by a separate platform team)
Contribute to a reusable automated test framework (unit / integration / E2E) that keeps code-review velocity sustainable under high merge-request throughput
Support security hardening, dependency and vulnerability scanning, and overall production readiness

Strong hands-on Azure experience: App Services, Functions, Key Vault, Storage (Data Factory and AI Search a plus)
CI/CD pipeline design and implementation - GitLab CI required; GitHub Actions a strong plus
Solid Python (the platform is ~98% Python)
Docker and container best practices
Working knowledge of Infrastructure-as-Code principles (Terraform or Bicep) - enough to deploy reliably onto pre-provisioned infrastructure
Azure observability with Application Insights (APM, dashboards, synthetic tests, log management)
Solid English, comfortable collaborating across distributed teams and time zones

Azure RBAC, Managed Identities, and secrets-management patterns
Monorepo tooling and patterns (build orchestration, selective CI triggers)
Test-automation strategy and framework design (unit → integration → E2E)
Security hardening and compliance practices (vulnerability scanning, dependency auditing / SCA)
Experience in enterprise environments (proxies, SSO, compliance constraints)
Azure Data Factory pipeline development
RAG / AI Search indexing pipelines
Playwright (for synthetic monitoring)
Multi-region / global deployment patterns
Experience working alongside heavy AI-assisted development workflows

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

not applicable for freelancers