Senior DevOps Engineer (Azure and Python)

Our client is a global enterprise software company building an AI-powered, RAG-based documentation platform delivered as production-grade SaaS. The platform is a set of ~10 containerized microservices — predominantly Python, with React front-ends — running fully on Microsoft Azure (App Services, Functions, Data Factory, AI Search, Blob Storage, Key Vault).

The team is hardening the platform for production: consolidating multiple repositories into a single monorepo, standardizing CI/CD, introducing observability and a proper test-automation framework and preparing for multi-region rollout (US, Europe, Asia). The team is heavily AI-assisted, currently producing 15–20 merge requests per week, which makes strong automation and test coverage essential.

You will join as a hands-on engineer embedded in the client's team, attending stand-ups and sprint ceremonies.
 

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

Requirements:

• 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
• Availability for international business travel

Nice to have:

• 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

We offer*:

• 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