Cloud Platform Engineer

Intapp, Inc.
United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Audit Trail User Authentication Microsoft Azure Bash Shell Cloud Engineering Computer Networks Continuous Integration DevOps Python (Programming Language) Key Management
+12 more
Octopus Deploy Prometheus Scripting Cloud Platform System Large Language Models Grafana Agentic-AI Kubernetes Software Coding Model Context Protocol Model Inference Terraform

Job description

  • 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, covering 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

  • 3+ years in platform, DevOps, SRE, or cloud engineering
  • Hands-on experience with Kubernetes, including deployments, networking, and troubleshooting
  • Experience with infrastructure as code (Terraform) and GitOps tooling (Argo CD, Flux, or similar)
  • Solid experience with at least one major cloud, Azure or AWS
  • Experience with observability tools such as OpenTelemetry, Prometheus, and Grafana
  • Scripting and coding skills in Python, Go, or Bash, and CI/CD experience

Nice to have

  • Experience with LLM gateways or proxies, or LLM observability and tracing tools
  • Familiarity with managed model services from major cloud providers, such as Azure or AWS
  • Understanding of agent frameworks and tool-integration protocols such as Model Context Protocol (MCP)
  • Experience running GPU workloads or model inference serving
  • Experience in multi-tenant, regulated, or compliance-driven environments

About the company

At Intapp, you’ll get the opportunity to bring your talents and intellectual curiosity to create better outcomes for our people and our clients. You’ll be part of a growing public company, with a modern work environment that’s connected yet flexible and where your professional growth and well-being are top priorities. We’ll collaborate and grow together, supporting each other in a positive, open atmosphere that fosters creativity, innovation, and teamwork.

Here, you will have the opportunity to:

  • Expand Your Skills: Unlock your potential with professional development opportunities supported by a community of experienced professionals. We offer reimbursement for training and continuing education to help you stay ahead in your career.
  • Enjoy Where You Work: Thrive in our modern, open offices designed to inspire creativity and collaboration. Our complimentary lunches and fully stocked kitchens ensure you have everything you need to stay energized throughout the day.
  • Support What Matters Most: Our comprehensive wellness and flexible time off programs and our benefits are designed to care for you and your family. Our family-formation benefits and support during your family-building journey ensure you have the resources you need when it matters most. We believe in giving back and supporting our communities with paid volunteer time off and a donation matching program for the causes you care about.

Join us and be a part of a collaborative and welcoming culture where your contributions are valued, and your professional growth is a priority. Together, we are building a company of long-term value that we can all be proud of.

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