Senior Azure DevOps Engineer

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🕒 April 27

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• 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 (and optionally Azure ML / Azure OpenAI)

🎯 Requirements

• Strong hands-on experience with Azure cloud services, especially: 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 • Nice to have: Experience with Azure OpenAI infrastructure • Nice to have: Experienced in using AI tools in day-to-day workflow.