Cloud Infrastructure Manager

* United States of America
- Illinois
- Chicago

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We are seeking an experienced, hands‑on Cloud Infrastructure Manager to lead the team responsible for the secure, reliable, scalable, and cost-effective operation of Qira’s multi-region Azure AI platform.

This role owns platform architecture, production reliability, disaster recovery, capacity planning, and delivery infrastructure across Azure Front Door, Application Gateway, Azure Container Apps, Microsoft Foundry, Azure API Management, and Git Hub Actions
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The successful candidate combines deep Azure expertise with strong people leadership and operational accountability. Working across application development, AI engineering, data, security, and business teams, this leader will translate business requirements into resilient infrastructure, controlled releases, and measurable service outcomes.

Location: Chicago, IL (Hybrid; 3 days onsite, 2 days remote)

What You'll Do

• Lead, coach, and develop the cloud platform team while maintaining hands‑on technical leadership and sustainable support coverage.
• Own the platform roadmap, delivery priorities, operational risks, vendor relationships, and escalation paths.
• Establish clear service ownership and accountability across development, AI engineering, data, and security teams.
• Design and operate resilient multi-region Azure environments using appropriate active-active and active-passive patterns, availability zones, and dependency‑aware routing.
• Define and manage service‑level objectives, recovery time objectives (RTO), and recovery point objectives (RPO).
• Maintain and test regional failover, failback, backup, and recovery processes across PostgreSQL, Redis, storage, containers, configuration, and AI services.

Networking & AI Platform Operations

• Manage Azure Front Door, Application Gateway, WAF policies, DNS, TLS, virtual networks, private endpoints, firewalls, egress controls, and hybrid connectivity.
• Oversee Microsoft Foundry resources, model deployments, access controls, private connectivity, model lifecycle, capacity, quotas, and regional availability.
• Partner with AI engineering and security on controlled model rollouts, content safety, prompt‑injection and data‑exfiltration protections, and secure access to AI tools and data.

API, Containers & Platform Delivery

• Own Azure API Management configuration and governance, including authentication, authorization, versioning, tenant isolation, routing, throttling, load balancing, and observability.
• Operate Azure Container Apps
  , including workload profiles, scaling, health probes, managed identities, zone redundancy,…