DevOps Consultant

Start: ASAP

Contract: B2B

Contract length: 12 months + possible extensions

Work mode: 100% remote

Project language: English, fluency needed

Recruitment process: 1-2 stages

Summary:

The DevOps role focuses on optimising and automating the deployment and management of applications within cloud (Microsoft Azure) and on-premises environments, while ensuring efficient operations and scalability.

Main Responsibilities:

• Designing and maintaining Azure DevOps YAML pipelines, build agents, code quality checks, and ACR integration.

• Deploying and operating applications on Kubernetes using Helm charts and raw manifests (pod debugging, namespaces, port-forwarding).

• Creating and optimising multi-stage Docker images and managing local environments with Docker Compose.

• Building automated workflows and tooling around AI-powered services using scripting (e.g. Bash, Python) and infrastructure-as-code (e.g. Terraform) to provision, monitor, and scale components (vector DBs, model-serving containers, GPU-aware workloads).

• Running PostgreSQL, vector databases (Qdrant), and S3-compatible storage (e.g. SeaweedFS) in Kubernetes, including initialisation and schema setup.

• Operating modern Python backends (e.g. uv for environments, Alembic for migrations) as part of automated deployment workflows.

• Working with Vite build pipelines and Nginx configuration for SPAs (routing, security, static asset optimisation).

• Managing portable Kubernetes-based deployments across Azure (AKS) and on-prem clusters (e.g. OpenShift/RKE) with minimal changes.

• Setting up logging, metrics, alerting and implementing best practices around secrets management, RBAC and network policies in Kubernetes.

• Identity & Access (Entra ID): Configuring and integrating Microsoft Entra ID (Azure AD) applications with frontend and backend services (MSAL, OAuth2/OIDC flows, roles/scopes), managing service principals/managed identities, and applying RBAC and secure access to cloud resources and CI/CD pipelines.

Key Requirements:

• Azure DevOps & YAML

• Kubernetes & Helm

• Docker & Docker Compose

• Python scripting & automated deployment

• Experience with PostgreSQL & vector databases

• Familiarity with logging, metrics, and alerting in Kubernetes

• Identity & Access configuration (Entra ID / Azure AD)

Nice to Have:

• Experience with GPU-aware workloads

• Knowledge of Vite & Nginx for frontend deployments

• Understanding of network policies and RBAC in Kubernetes

Other Details: The role focuses on AI-powered services.