Senior DevOps Engineer (Azure & 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

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