Associate Cloud Platform Engineer

Intapp Portugal Lda.; Lisboa; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Equity/Stock options

Home office stipend

Meal allowance

Training and development reimbursement

Parental and other leave benefits

Descripción de la vacante

Intapp Portugal Lda. is expanding its Lisbon R&D center and seeks an Associate Cloud Platform Engineer to build and operate a Kubernetes-based AI platform. You’ll implement IaC, CI/CD, and GitOps, connect cloud-hosted models across Azure or AWS, and improve monitoring and runbooks.

You’ll contribute to automation, support product teams, and grow with a global leader in AI SaaS. Hybrid work and competitive compensation offered.

Formación

• 1–2 years in DevOps, platform, SRE, or cloud engineering (or equivalent hands-on experience).
• Working knowledge of Kubernetes deployments, services, and troubleshooting.
• Familiarity with Terraform and Git-based workflows.
• Hands-on with at least one major cloud (Azure or AWS).
• Basics of observability tooling (Prometheus, Grafana) and scripting.

Responsabilidades

• Operate and maintain a Kubernetes-based platform for AI workloads.
• Implement infrastructure as code and GitOps workflows.
• Onboard and configure access to cloud-hosted foundation models.
• Build dashboards, alerts, and runbooks for AI workloads.
• Handle deployments, upgrades, and day-to-day operations.

Conocimientos

Kubernetes

Scripting (Python/Bash/Go)

CI/CD pipelines

Observability

Git workflows

Herramientas

Terraform

Azure

AWS

Prometheus

Grafana

GitOps tooling (Argo CD, Flux)

Descripción del empleo

Position Overview

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.

About Intapp

Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS company, collaborating with over 2,550 professional and financial services firms globally. With 20+ years of industry expertise, Intapp's "Intelligence Applied" approach is transforming how businesses operate and leverages a strategic partner with Microsoft in delivering industry cloud solutions. The company culture promotes accountability, responsibility, and growth in a diverse, inclusive, and collaborative environment. Since going public in 2021, Intapp has expanded to over 1,600 employees globally with development centers in Palo Alto, Charlotte, Belfast, Berlin, and Lisbon.

About Lisbon

Intapp is excited to expand its Research & Development center in Lisbon, aiming to add 50 new team members in the next year. Lisbon’s tech ecosystem and vibrant community make it an ideal destination for engineers and tech professionals from around the world. The city’s reputation for innovation aligns perfectly with Intapp’s mission to leverage AI and cloud-based solutions. Lisbon offers an ideal work-life balance and quality of life, making it an attractive city for top talent. Joining Intapp in Lisbon provides a unique opportunity to help shape the new flagship development center and contribute to high-impact projects in a thriving tech environment.

What you'll do

• 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.

What you’ll need

• 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.

What we offer at Intapp

Our culture at Intapp emphasizes accountability, responsibility, and growth. We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work‑life balance. In return for your passion, commitment, and collaborative approach, we offer:

• 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.

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.

Intapp builds AI software to power the world’s top investment, legal, and consulting firms. Our clients face unique challenges: they must track and manage complex client relationships, navigate strict regulatory requirements, and manage sensitive deal information. We develop software specifically for these needs, helping firms find and win business, onboard clients safely and manage risk, deliver exceptional work, and capture full value. Intapp created Celeste, an agentic AI platform for professional firms that combines firm-specific context, workflow automation, and built‑in compliance. Using prebuilt or custom agents, Celeste helps professionals execute critical workflows faster and more consistently while respecting proprietary knowledge, access controls, and regulatory requirements. It is designed to work within a firm’s data, terminology, playbooks, and governance framework. Today, more than 2,700 firms worldwide rely on Intapp, including 95 of the Am Law 100, 16 of the top 20 accounting firms, and more than 1,700 private capital, investment banking, and real assets firms. Intapp has helped firms achieve measurable impact — from 25% more pitch opportunities to 55% faster client onboarding — turning intelligence into competitive advantage. Founded in 2000 and headquartered in Palo Alto, California, Intapp completed a successful IPO on June 30, 2021 (NASDAQ: INTA). Alongside a global ecosystem of partners, Intapp accelerates innovation and integration, ensuring our clients are always at the forefront of transformation.