Cloud Platform Engineer

Intapp

. Operate and evolve a Kubernetes-based platform for AI workloads, including LLM gateways, agent and tool-integration gateways, and agent runtimes .

Posted 10/26/2026full-timeNew York City • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in operating and evolving Kubernetes-based platforms for AI workloads, with a strong focus on infrastructure as code, GitOps workflows, and observability tools. Proficient in managing cloud-hosted foundation models and implementing security measures for multi-tenant environments.

Highest-signal resume keywords

Kubernetes ManagementInfrastructure As CodeGitOps ToolingCloud Provider ExperienceObservability Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesTerraformPythonGoBashCI/CDOpenTelemetryPrometheusGrafanaLLM Gateways

Soft Skills

DocumentationOnboardingTroubleshooting

Tools & Technologies

Argo CDFluxAzureAWS

Industry Keywords

AI WorkloadsMulti-TenantRegulated EnvironmentsCompliance-Driven

Tech Stack

Tools & technologies

AWSAzureCloudFluxGrafanaKubernetesPrometheusPythonTerraformGo

About the role

Key responsibilities & impact

Operate and evolve a Kubernetes-based platform for AI workloads, including LLM gateways, agent and tool-integration gateways, and agent runtimes
Integrate and manage access to cloud-hosted foundation models across multiple providers, including routing, quotas, fallbacks, cost controls, and tenant isolation
Deliver infrastructure as code and GitOps workflows
Build monitoring, alerting, and tracing for AI workloads
Help design and prototype self-hosted model serving, including GPU workloads and inference runtimes
Harden the platform with secrets management, network policies, authentication and authorization, and audit logging
Support internal product teams through documentation, onboarding, and troubleshooting

Requirements

What you’ll need

3+ years in platform, DevOps, SRE, or cloud engineering
Hands-on experience with Kubernetes, including deployments, networking, and troubleshooting
Experience with infrastructure as code using Terraform
Experience with GitOps tooling such as Argo CD, Flux, or similar
Solid experience with at least one major cloud provider: Azure or AWS
Experience with observability tools such as OpenTelemetry, Prometheus, and Grafana
Scripting and coding skills in Python, Go, or Bash
CI/CD experience
Nice to have: Experience with LLM gateways or proxies, or LLM observability and tracing tools
Nice to have: Familiarity with managed model services from major cloud providers, such as Azure or AWS
Nice to have: Understanding of agent frameworks and tool-integration protocols such as Model Context Protocol (MCP)
Nice to have: Experience running GPU workloads or model inference serving
Nice to have: Experience in multi-tenant, regulated, or compliance-driven environments

Benefits

Comp & perks

Professional development opportunities
Reimbursement for training and continuing education
Modern, open offices
Complimentary lunches
Fully stocked kitchens
Comprehensive wellness programs
Flexible time off programs
Benefits supporting employees and families
Family-formation benefits
Paid volunteer time off
Donation matching program
Hybrid (partially remote) work arrangement