DevOps Engineer - Azure

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Auditdata

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1992

⚕️ Healthcare Insurance

📡 Telecommunications

💰 Venture Round on 2016-07

Healthcare Insurance • Software • Telecommunications

Auditdata is a cloud-based, data-driven practice management software company specializing in solutions for audiology practices. Their offerings include practice management software that optimizes workflows, integrated audiological testing equipment, and screening tools for improved patient care. Auditdata's technology enhances the patient experience at every stage from screening to fitting and aftercare, ensuring efficiency and high-quality service delivery.

📋 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. • 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.

🎯 Requirements

• 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 • Nice-to-haves: 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, and troubleshooting. • Basic understanding of how LLMs fit into engineering workflows, including the Model Context Protocol (MCP) - the open standard for connecting AI assistants to tools, data sources, and internal systems. • 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. • Good communication skills to be able to collaborate with Customer Care team across different locations for delivering high-end software solutions to the customers • Able to find solutions to complex issues, “outside the box thinking” • Always focused on updating your own and your team's knowledge with the latest and greatest tools • Good spoken and written English • B.Sc. degree in Computer Science, or similar.

🏖️ 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.