AI-Driven Cloud Platform Engineer for Cellular Networks

Aira Technologies; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Aira Technologies in San Francisco builds AI agents for cellular networks. You will build and operate the cloud platform our agent systems run on—the infrastructure, pipelines, and Kubernetes environments that take prototypes to production under live network traffic.

You own deployment, scaling, and uptime, collaborating with ML researchers and engineers to ensure secure, observable, and cost-efficient operation across Azure, Helm, Jenkins, and Terraform.

Qualifications

• 5+ years running production cloud infrastructure with on-call/incident response.
• Strong Azure experience: AKS, ACR, Entra ID, workload identity, Private Link, VNets, NSGs.
• Hands-on Kubernetes with Helm, autoscaling, limits, upgrades, and kubectl.
• Observability with Prometheus/Grafana and meaningful SLOs/alerts.
• CI/CD ownership; Jenkins used in production; GitOps a plus.
• Security in pipelines: SAST/DAST/SCA and RBAC design.
• Secure networking: restricted egress, proxies, VPNs, and hybrid connectivity.

Responsibilities

• Design and run AKS clusters and Istio service mesh; multi-tenant Kubernetes in Azure.
• Provision Azure infra with Terraform and Bicep; manage ACR, Key Vault, VNets, and access.
• Maintain Jenkins pipelines and Helm packaging for consistent deployments.
• Keep platform secure: CVE remediation, secret management, and image scanning.
• Manage capacity, cost, and performance: node sizing, HPA tuning, and monitoring.

Skills

Azure AKS

Kubernetes

Terraform

Bicep

Helm

Jenkins

RBAC

Security

Cost optimization

Tools

Kubectl

Prometheus

Grafana

Istio

ACR

Key Vault

Entra ID

Private Link

Job description

Aira Technologies in San Francisco builds AI agents for cellular networks. You will build and operate the cloud platform our agent systems run on—the infrastructure, pipelines, and Kubernetes environments that take prototypes to production under live network traffic.

You own deployment, scaling, and uptime, collaborating with ML researchers and engineers to ensure secure, observable, and cost-efficient operation across Azure, Helm, Jenkins, and Terraform.