[Hiring] DevOps Engineer @Auditdata

Role Description

Become part of the software team developing sophisticated enterprise solutions for audiology distribution chains.

Supportive and Mentorship-Oriented Environment: You will be joining a team that values collaboration and mentorship. We are here to support you every step of the way, whether it's navigating new projects or advancing your skills in Azure Cloud and Azure DevOps.

Tech stack we use:

• Net Core
• Azure cloud
• Azure DevOps
• AKS
• Azure SQL
• Data Factory
• Service Bus
• Variety of AI tools from Antropic/Open AI

What will you do:

• Managing and optimizing continuous integration (CI) and continuous delivery (CD) processes
• Managing release process & its automation
• Supporting and monitoring development environments and configurations in Microsoft Azure cloud
• Consult internal & external customers on technical aspects of installation, sizing, scaling; CI/CD etc.

Qualifications

• 2-3 years of commercial experience with configuring, maintaining, and troubleshooting Microsoft based production systems
• Microsoft Azure Cloud:
• ARM templates/Terraform writing, setup automation for resources provisioning (Azure PowerShell)
• Azure services (Azure App Service, nice to have Azure Kubernetes, Azure SQL, Azure Storage Account)
• Understanding of load balancers, DNS, virtual networks and firewalls in cloud environment
• Setup monitoring (performance metrics, OMS)
• Azure Active Directory basics (Azure AD authentication, Users and groups, Roles)
• Monitoring enterprise solutions in Azure Cloud

Requirements

• Understanding the setting up CI/CD for .NET projects by managing, developing, and building CI/CD pipeline
• Hands-on use of AI coding assistants such as GitHub Copilot, Claude Code, or OpenAI Codex for everyday tasks:
• Writing and refactoring scripts
• Generating IaC (Terraform/ARM/Bicep)
• Drafting pipeline definitions
• Troubleshooting
• Basic understanding of how LLMs fit into engineering workflows, including the Model Context Protocol (MCP)
• Awareness of the limitations and risks of AI-generated code and configuration, with good judgment about when and how to review it before it reaches production

Benefits

• Long-term engagement in a stable, growing SaaS company
• Remote-first and async-friendly with flat organizational structure
• High bar for engineering, product and business standards
• A culture that values personal growth as much as business outcomes
• A global team that spans Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more