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, Datafactory, Service bus.
We wildly use 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.
You have 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.
Key traits:
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.
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.
Feels like it’s a perfect match to you?
We look forward to your application! (please submit your English CV)
Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills.
Skills Required
- 2-3 years of commercial experience configuring, maintaining, and troubleshooting Microsoft-based production systems
- Experience with Microsoft Azure Cloud
- Ability to write ARM templates or Terraform and automate Azure resource provisioning with Azure PowerShell
- Knowledge of Azure services, including Azure App Service; Azure Kubernetes, Azure SQL, and Azure Storage are advantageous
- Understanding of cloud load balancers, DNS, virtual networks, and firewalls
- Experience setting up monitoring and performance metrics, including OMS
- Basic understanding of Azure Active Directory authentication, users, groups, and roles
- Experience monitoring enterprise solutions in Azure Cloud
- Understanding of CI/CD setup for .NET projects and pipeline development
- Hands-on experience with AI coding assistants such as GitHub Copilot, Claude Code, or OpenAI Codex
- Basic understanding of LLM engineering workflows and Model Context Protocol
- Awareness of risks and limitations of AI-generated code and configuration
- Good communication and problem-solving skills
- Good spoken and written English
- B.Sc. degree in Computer Science or a similar field
What We Do
Auditdata develops and sells audiology software and technology solutions, including practice management software, clinical testing equipment, and data analytics for hearing care providers. Their mission is to help hearing care professionals improve clinical care and patient experience.
