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Cloud Platform Engineer

🔥 0 minutes ago

🏈 Alabama – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Logo of Intapp

Intapp

1001 - 5000 employees

💼 Consulting

⚖️ Legal

☁️ SaaS

💰 Private Equity Round on 2017-04

Consulting • Legal • SaaS

Intapp is a leading global provider of AI-powered cloud-based software solutions designed for professional and financial services firms. Their offering includes specialized solutions for industries such as accounting, consulting, investment banking, legal, private capital, and real estate. Intapp’s products help firms improve client relationships, optimize operations, manage compliance, and support collaboration and deal management through solutions like Intapp DealCloud, Compliance, and employee compliance management. With a focus on data security and seamless integration via Microsoft Azure, Intapp serves over 2,600 client firms worldwide, including top law firms and investment banking institutions, helping them leverage automation and data intelligence to drive growth.

📋 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, 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

• 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, 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 • 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

🏖️ Benefits

• Professional development opportunities • Reimbursement for training and continuing education • Modern, open offices • Complimentary lunches • Fully stocked kitchens • Comprehensive wellness programs • Flexible time off programs • Family-formation benefits • Family-building support • Paid volunteer time off • Donation matching program

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