Azure DevOps Engineer

📌 We are seeking a highly experienced Azure DevOps Engineer on behalf of our client to join to the leader from the largest Swiss financial holding company.

📍Work mode: hybrid - 3 days a week working from the client's office in Kraków

Experience

8–10 years total IT experience

• 4–5 years relevant experience specifically in Azure DevOps practices

• 5+ years hands-on with: GitLab, Terraform, Azure, Azure DevOps (ADO), Azure Data Lake, Azure Kubernetes Service (AKS), Spark, Databricks

Role Summary

We are seeking a seasoned Azure DevOps Engineer to design, automate, and run secure, scalable CI/CD pipelines and cloud infrastructure in Azure. The ideal candidate brings deep hands-on experience with Terraform, AKS/Kubernetes, Helm, Grafana, and either Jenkins and/or Azure DevOps/GitLab for pipeline orchestration. Exposure to data engineering stacks (Spark, Databricks, Azure Data Lake) is important for enabling analytics and ML workloads in production.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using Azure DevOps (ADO) and/or Jenkins and GitLab CI, including multi-stage deployments, environment promotions, approvals, and rollback strategies.

• Implement Infrastructure as Code (IaC) with Terraform (modules, remote state, workspaces) for Azure resources—AKS, VNets, Key Vault, ACR, Azure Data Lake Storage (ADLS), and supporting services.

• Operate and harden Kubernetes (AKS) clusters: networking, ingress, scaling, node pools, policy, and security baselines.

• Package and release workloads using Helm; manage chart versioning, values, and environment overlays.

• Set up end-to-end observability: Grafana dashboards, Prometheus/Alertmanager integrations, Azure Monitor/Log Analytics, actionable alerting tied to SLOs.

• Integrate and automate deployments for Spark/Databricks jobs and data pipelines, including secrets, configuration, and scheduling.

• Embed DevSecOps controls across pipelines: image and IaC scanning, SBOM, supply-chain security, secrets management via Azure Key Vault.

• Troubleshoot production issues, conduct RCAs, improve reliability, performance, and cost efficiency.

• Create reusable templates/libraries and documentation; mentor engineers and champion best practices.

Must-Have Skills

CI/CD

• Azure DevOps (ADO) (5+ yrs): YAML pipelines, environments, artifacts, approvals, service connections.

• GitLab CI (5+ yrs): runners, pipeline-as-code, templates, artifacts.

• Jenkins: scripted/declarative pipelines, shared libraries (nice if both Jenkins & ADO/GitLab).

Terraform (5+ yrs)

• Modules, remote backends, state mgmt, workspaces, policy-as-code (OPA/Conftest), PR validations; strong Azure provider experience.

Azure (5+ yrs)

• Core services (Compute, Networking, Storage), Azure Data Lake (ADLS), Key Vault, ACR, RBAC/IAM.

Kubernetes / AKS (5+ yrs)

• Cluster operations, CNI networking, ingress controllers (Nginx/AGIC), HPA/VPA, Pod Security, PDBs, node pools, taints/tolerations.

Helm

• Authoring and managing charts, values, release strategies (blue/green, canary).

Observability

• Grafana dashboards, Prometheus metrics/alerts; Azure Monitor/Log Analytics, KQL basics.

Containers & Automation

• Dockerfile best practices (multi-stage, non-root), scripting (Bash/PowerShell; Python/Groovy a plus).

Data Engineering Integration

• Spark and Databricks CI/CD integration, job orchestration, configuration, and basic performance awareness.

Good-to-Have

• GitOps (Argo CD/Flux), Helmfile, Kustomize

• Security: container/IaC scanning (Trivy/Anchore/Checkov), image signing, supply-chain (SLSA)

• Networking/Security: Azure Firewall, Private Link, VNets/Peering, NSGs, WAF

• IaC at scale: Terraform Cloud/Enterprise, Terragrunt, Atlantis

• Cost optimization for AKS and data workloads (spot nodes, autoscaling, right-sizing)

• Service Mesh (Istio/Linkerd), API gateways, Zero Trust patterns

Qualifications

• Bachelor’s/Master’s in Computer Science, Engineering, or equivalent practical experience.

• Proven success running production-grade systems on Azure + AKS with automated CI/CD and Terraform.

• Experience partnering with data engineering teams on Databricks/Spark/ADLS deployments.

📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk