DevOps Engineer (Digital Engineering)

Polandvia Coherentsolutions CareersPosted Sep 16, 2026
Match with my CV

Technical skills

PythonData engineeringData analysisCI/CDAzureDockerKubernetesTerraformCloud platformsDevOps

About this role

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project involves a production system for managing clients and the life insurance programs in which they are enrolled. The Azure DevOps Engineer will support the Azure-based platform behind the system, enabling secure, automated, and reliable delivery across application and data services.

Technologies

  • Azure, Terraform, Azure Key Vault
  • Azure DevOps, Argo CD, GitOps, SonarQube
  • Azure Kubernetes Service (AKS), Docker, Kubernetes, Helm
  • Databricks, Unity Catalog
  • Azure Monitor, Application Insights, Log Analytics, PowerShell, Bash, Python

What You'll Do

  • Design, provision, and maintain scalable Azure infrastructure using Terraform, with a focus on modularity, reusability, security, and version control
  • Build, optimize, and support YAML-based Azure DevOps CI/CD pipelines for infrastructure, application, containerized, and data workloads
  • Implement and maintain GitOps deployment workflows using Argo CD for reliable application delivery to AKS clusters
  • Embed DevSecOps practices into pipelines, including SonarQube integration, code quality checks, vulnerability scanning, secrets management, and compliance validation
  • Administer and optimize Azure services, including VNets, Load Balancers, App Services, Key Vault, Storage Accounts, and Azure AD, following RBAC and governance best practices
  • Configure monitoring and observability using Azure Monitor, Application Insights, and Log Analytics, and troubleshoot build, deployment, and performance issues
  • Manage Azure Databricks workspaces, clusters, access controls, and Unity Catalog configurations, while automating Databricks deployments through Terraform and CI/CD workflows
  • Collaborate with architecture, data engineering, and security teams; maintain technical documentation and runbooks; and mentor junior engineers on DevOps best practices;

Job Requirements

  • 5+ years of experience in Azure DevOps, cloud automation, or similar roles
  • Strong hands-on experience with Terraform, including modules, workspaces, backends, and state management
  • Proven experience building and maintaining Azure DevOps Pipelines using YAML
  • Hands-on experience with Argo CD and GitOps-based deployments to AKS
  • Solid Azure administration skills, including RBAC, networking, storage, and cost governance
  • Experience managing Databricks workspaces and clusters
  • Experience integrating SonarQube into CI/CD pipelines for code quality assurance
  • Hands-on experience with Docker, Kubernetes, and Helm
  • Scripting proficiency in PowerShell, Bash, or Python
  • Strong problem-solving skills, ability to work independently, and effective collaboration in cross-functional team
  • English proficiency at Upper-Intermediate (B2) level or higher
  • Availability to work the primary support shift from 4:00 PM to 12:00 AM CST, with attendance at 9:00 AM CST morning meetings as needed to ensure team overlap;

Nice to Have

  • Relevant certifications, such as Microsoft Certified (Azure DevOps Engineer, Azure Administrator Associate), HashiCorp Certified (Terraform Associate), or Certified Kubernetes Administrator (CKA)
  • Experience with Azure Bicep, ARM Templates, or Ansible
  • Exposure to Azure Data Factory and Azure Synapse CI/CD automation;
  • What Do We Offer
  • The global benefits package includes:
  • Technical and non-technical training for professional and personal growth
  • Internal conferences and meetups to learn from industry experts
  • Support and mentorship from an experienced employee to help you professional grow and development
  • Health insurance
  • Sports activities to promote a healthy lifestyle
  • Flexible work options, including remote and hybrid opportunities
  • Referral program for bringing in new talent
  • Work anniversary program and additional vacation days.

Before you apply

  • 1Which parts of your CV prove experience with Python, Data engineering, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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