Cloud Platform Engineer - Kubernetes for AI workloads

Intapp; Lisboa; Hybrid; EUR 42,000 - 68,000; Full time

Benefits offered by this job

Hybrid work system

Equity/Stock in Intapp

Home office stipend

Meal allowance

Paid parental leave

Job summary

Intapp is expanding its Lisbon development center and seeks an Associate Cloud Platform Engineer to help operate a Kubernetes-based platform powering AI workloads. You will implement IaC and GitOps, onboard foundation models across cloud providers, and build dashboards for AI workloads.

You will collaborate with senior engineers to automate deployments, manage day-to-day tasks, and support product teams with documentation.

Qualifications

• 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.

Responsibilities

• Operate and maintain a Kubernetes-based platform for AI workloads, including LLM gateways, agent and tool integration gateways, and runtimes.
• Implement and maintain infrastructure as code and GitOps workflows.
• 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.

Skills

Kubernetes knowledge

DevOps/platform experience

Observability concepts

Scripting (Python/Bash/Go)

CI/CD pipelines

GitOps concepts

Willingness to learn

Cloud provider familiarity (Azure/AWS)

LLM gateways exposure (nice-to-have)

Security basics (RBAC, secrets)

Tools

Terraform

Git

Prometheus

Grafana

Argo CD

Flux

MCP (integration protocol)

Azure

AWS

Job description

Intapp is expanding its Lisbon development center and seeks an Associate Cloud Platform Engineer to help operate a Kubernetes-based platform powering AI workloads. You will implement IaC and GitOps, onboard foundation models across cloud providers, and build dashboards for AI workloads.

You will collaborate with senior engineers to automate deployments, manage day-to-day tasks, and support product teams with documentation.