Cloud & AI Infrastructure Engineer

About the role

We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads.

Responsibilities

• Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability.
• Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance.
• Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations.
• Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads.
• Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner.
• Manage Azure and AI platform environments across development, testing, and production.
• Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency.
• Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities.
• Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads.
• Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness.
• Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services.
• Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls.
• Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way.
• Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management.

Required Qualifications

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered.
• 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering.
• Strong hands-on experience with Microsoft Azure services and cloud architecture.
• Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools.
• Experience building and maintaining CI/CD pipelines for application and platform deployment.
• Experience implementing monitoring, logging, alerting, and observability for production systems.
• Understanding of identity, access control, security, and networking concepts in cloud environments.
• Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence.
• Strong troubleshooting and problem-solving skills.
• Able to work effectively with software developers, data engineers, and technical leadership.

Preferred Qualifications

• Experience supporting AI or machine learning workloads in Azure.
• Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications.
• Experience with containerization, orchestration, or modern hosting models.
• Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting.
• Experience with secrets management, policy enforcement, and secure deployment patterns.
• Experience in environments with custom internal applications, integrations, and growing cloud platforms.
• Familiarity with observability and telemetry practices for distributed systems and AI applications.

Key Skills

• Azure architecture and provisioning
• Infrastructure-as-code
• CI/CD pipeline engineering
• Logging and observability
• Monitoring and alerting
• Identity and access controls
• Cloud networking and security
• Azure OpenAI platform support
• Cloud cost optimization
• Production support and reliability engineering
• Cross-functional technical collaboration

Compensation

$160,000 - $190,000 salary