Senior Azure DevOps Engineer

Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, it was among the fastest growing technology companies in Europe, according to the Financial Times. Founded by a group of tech experts with established backgrounds in software engineering, it created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. The company specialises in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

• Strong hands-on experience with Azure cloud services: App Service, Functions, Storage, Azure SQL, Key Vault, ACR, monitoring/diagnostics
• Practical, production experience with Terraform managing cloud infrastructure across dev / staging / production environments
• Solid understanding of Azure networking: VNets, subnets, Private Endpoints, Private DNS, NSGs, secure private access patterns
• Experience with Azure DevOps pipelines (YAML), including approvals, artefacts, and automated deployments
• Good understanding of cloud security: Managed Identities, Service Principals, RBAC, Key Vault, secrets management
• Proven troubleshooting skills using logs, monitoring tools, and Azure diagnostics to resolve infrastructure and application issues

Nice to have:

• Experience with Azure Machine Learning infrastructure
• Experience with Azure OpenAI infrastructure
• Experienced in using AI tools in day-to-day workflow

• Design, build, and maintain Azure infrastructure using Terraform across dev, staging, and production environments
• Own and improve Azure DevOps CI/CD pipelines (YAML), including artefact management, approvals, and automated deployments
• Implement and maintain secure Azure networking (VNets, subnets, Private Endpoints, Private DNS, NSGs) to ensure private access to critical services
• Configure and enforce security best practices across the platform (RBAC, Managed Identities, Service Principals, Key Vault, secrets handling)
• Ensure reliable hosting and operations for platform components (App Service, Functions, Storage, Azure SQL, ACR)
• Monitor platform health and performance; troubleshoot incidents using Azure monitoring, logs, and diagnostics
• Support the AI processing infrastructure needs, including enabling secure and scalable execution for workflows and batch/experimental pipelines (optionally Azure ML / Azure OpenAI)