Cloud Platform Engineer: AI Infra & Kubernetes Expert

INTEGRATION APPLIANCE, INC.; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Complimentary lunches

Fully stocked kitchens

Wellness program

Family formation benefits

Volunteer time off

Donation matching

Career growth

Job summary

Intapp is seeking a Platform/DevOps Engineer to operate and evolve a Kubernetes-based AI workload platform. You will manage LLM gateways, tool integration gateways, and agent runtimes while delivering infrastructure as code and GitOps workflows.

You will collaborate with internal product teams, harden security with secrets, network policies, and audit logging, and help design self-hosted model serving with GPU workloads. Flexibility and a collaborative culture are valued.

Qualifications

• 3+ years in platform, DevOps, SRE, or cloud engineering.
• Hands-on Kubernetes experience with deployments and troubleshooting.
• Terraform and GitOps tooling experience.
• Strong cloud experience (Azure or AWS).

Responsibilities

• Operate and evolve a Kubernetes-based AI workloads platform.
• Integrate access to cloud-hosted foundation models with routing and quotas.
• Deliver infrastructure as code and GitOps workflows.
• Build monitoring, alerting, and tracing for AI workloads.
• Design self-hosted model serving with GPU workloads.

Skills

Kubernetes

Terraform

GitOps

Cloud platforms

OpenTelemetry

Prometheus

Grafana

Python

Go

CI/CD

Tools

Terraform

Argo CD

Flux

Cloud providers (Azure/AWS)

Job description

Intapp is seeking a Platform/DevOps Engineer to operate and evolve a Kubernetes-based AI workload platform. You will manage LLM gateways, tool integration gateways, and agent runtimes while delivering infrastructure as code and GitOps workflows.

You will collaborate with internal product teams, harden security with secrets, network policies, and audit logging, and help design self-hosted model serving with GPU workloads. Flexibility and a collaborative culture are valued.