Description :

We are seeking a passionate and hands-on DevOps Engineer who can own the infrastructure lifecycle and CI/CD automation of our growing suite of GenAI applications. You'll be responsible for everything from provisioning Azure infrastructure as code to building secure and scalable CI/CD pipelines for Angular, FastAPI, and LangChain-powered services.

Responsibilities :

- Design, implement, and maintain CI/CD pipelines for multi-service deployments (Angular frontend + Python/FastAPI backend).

- Manage container orchestration using Azure Kubernetes Service (AKS), including Helm charts, service meshes, and ingress routing (e. g., Azure App Gateway or NGINX).

- Provision and maintain infrastructure using Terraform or Bicep, enforcing modular and version-controlled architecture.

- Integrate Azure Key Vault and GitHub Secrets for secure credential management.

- Automate image builds, environment provisioning, rollbacks, and deployment strategies (blue/green, canary).

- Support dev teams in deploying experimental LangChain agents and rapidly iterating POCs into production.

- Implement observability basics : metrics export, application health checks, and log forwarding to centralized platforms (e. g., Fluent Bit, EFK).

- Ensure infrastructure cost optimization and security best practices.

Requirements :

- 3-6 years of experience in DevOps or Infrastructure Automation roles.

- Strong hands-on experience with Azure Cloud - especially AKS, App Gateway, VNETs, and Private Endpoints.

- Proficient with CI/CD tooling - Azure DevOps Pipelines, GitHub Actions, or Jenkins.

- Kubernetes concepts : deployments, autoscaling, rolling updates, resource limits, and probes.

- Infrastructure-as-Code : Terraform or Bicep.

- Hands-on experience with Docker, container registries, and secure image management.

- Comfortable working in fast-paced, multi-service environments.

- 100% infra reproducibility via IaC.

- Experience deploying LangChain, LLM agents, or OpenAI integrations.

- Familiarity with Azure Monitor, Log Analytics, or custom Grafana dashboards.

- Experience with Helm/Kustomize, ArgoCD, or Flux for GitOps.

- Bash, PowerShell, or Python scripting.