About the Role
Intapp is looking for an Associate Cloud Platform Engineer who will help build, operate, and maintain the cloud platform that powers Intapp's AI workloads. Working alongside experienced engineers, you'll contribute to Kubernetes-based infrastructure, automation, monitoring, and cloud services that support LLMs, AI agents, and internal product teams.
Responsibilities
•Help operate and maintain a Kubernetes-based platform for AI workloads, including LLM gateways, agent and tool-integration gateways, and agent runtimes.
•Implement and maintain infrastructure as code and GitOps workflows under the guidance of senior team members.
•Assist with onboarding and configuring access to cloud-hosted foundation models across multiple providers.
•Build and improve dashboards, alerts, and runbooks for AI workloads.
•Handle day-to-day operational tasks: deployments, upgrades, access requests, and troubleshooting.
•Contribute to automation that reduces manual work (scripts, CI/CD pipelines, internal tooling).
•Support internal product teams with documentation and first-line technical questions.
Requirements
•1-2 years of experience in DevOps, platform, SRE, or cloud engineering (or equivalent hands-on experience).
•Working knowledge of Kubernetes (deployments, services, config, basic troubleshooting).
•Familiarity with infrastructure as code (Terraform) and Git-based workflows.
•Hands-on experience with at least one major cloud (Azure or AWS).
•Basic understanding of observability concepts (metrics, logs, traces) and tools such as Prometheus or Grafana.
•Scripting skills (Python, Bash, or Go) and exposure to CI/CD pipelines.
•Willingness to learn and to ask questions.
Nice to Have
•Experience with GitOps tooling (Argo CD, Flux, or similar).
•Exposure to LLM gateways, LLM observability tools, or managed model services from major cloud providers.
•Familiarity with agent frameworks and tool-integration protocols such as MCP.
•Basic understanding of cloud security practices: secrets management, RBAC, network policies.
•Personal or academic projects involving LLM applications or AI tooling.
Conditions
•A modern work environment supporting both professional success and work-life balance.
•A state-of-the-art facility with fully stocked kitchen – only 5-minute walk to/from Gare do Oriente.
•A hybrid work system supporting agile and flexible hours.
•Attractive compensation – including competitive base pay and performance based variable pay.
•Equity/Stock in Intapp.
•Opportunity to travel to other development centers for product training and cross-site collaboration.
•One time home office stipend.
•Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave and paid sick days.
•Meal allowance.
•Reimbursement for training towards continuing education.
