Platform Engineer - AI Platforms & Cloud Infrastructure

planet; Porto; Presencial; EUR 55 000 - 85 000; Tempo integral

Resumo da oferta

Planet, a leading technology company transforming payments, seeks a Platform Engineer in Porto to design, build, and operate cloud platforms supporting AI workloads. You will work across AWS and Azure, with a strong emphasis on security, scalability, and self-service capabilities.

The role centers on Terraform-based IaC, automation, and reliable platform operations, partnering with AI, Security and Application teams to deliver compliant cloud environments for AI initiatives.

Qualificações

• Hands-on cloud infra experience, AWS-focused, with Azure knowledge.
• Terraform-based IaC design, deployment, and governance.
• Automation scripting using Python/PowerShell/Bash etc.
• Experience with cloud networking, security, and cost monitoring.

Responsabilidades

• Design, build, and maintain cloud infrastructure for AI platforms.
• Collaborate with AI, Data, Security, and App teams to operate reliable environments.
• Develop and maintain IaC solutions using Terraform.
• Support AI services across AWS and Azure.
• Implement automation to improve reliability, scalability and security.
• Manage cloud networking, access control, and governance for AI workloads.
• Monitor platform health, performance, and cost; maintain runbooks.

Conhecimentos

AWS

Azure

Terraform

IaC

Automation scripting

Kubernetes

Linux / Windows

Ferramentas

CI/CD tools

Ansible

Kubernetes

Descrição da oferta de emprego

About Us

Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide.

In recent years, we have experienced significant growth, expanding our services and global presence.

With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions.

Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers.

Role Overview

We are seeking a Platform Engineer to join our Cloud & Infrastructure Services team and support the growth of Planet's AI and Generative AI initiatives.

The successful candidate will work closely with our internal AI teams to design, build, automate, and operate the cloud infrastructure required to support AI platforms, applications, and services. While the role spans both Microsoft Azure and AWS, our current AI workloads are primarily hosted on AWS.

This role is focused on platform engineering, cloud infrastructure, automation, reliability, and operational excellence rather than AI model development. The ideal candidate will be passionate about building secure, scalable, and self-service cloud platforms that enable AI teams to innovate quickly and safely.

Experience supporting AI services and platforms such as Amazon Bedrock, Azure AI Foundry, Microsoft Copilot, GitHub Copilot, or Copilot Studio is highly desirable.

Previous experience working within regulated industries (e.g., payments, financial services, PCI-DSS, healthcare, or other compliance-driven environments) is highly desirable.

What you will do:

• Design, build, and maintain cloud infrastructure supporting AI and Generative AI platforms.
• Partner with AI, Data, Security, and Application teams to provision and operate reliable cloud environments.
• Develop and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Support AI platform services across AWS and Azure.
• Implement automation to improve platform reliability, scalability, security, and operational efficiency.
• Design and manage cloud networking, security controls, and access management for AI workloads.
• Support containerized workloads and Kubernetes-based platforms where required.
• Monitor platform health, performance, capacity, and cost.
• Implement and maintain cloud governance, operational standards, and reusable platform components.
• Support incident response, troubleshooting, root cause analysis, and platform improvements.
• Maintain technical documentation, operational procedures and runbooks.
• Collaborate with Security and Compliance teams to ensure platforms meet corporate and regulatory requirements.

Who you are:

• Strong hands-on experience with cloud infrastructure, particularly AWS.
• Experience working with Microsoft Azure cloud services and platforms.
• Strong experience with Terraform for Infrastructure as Code (IaC).
• Experience designing, deploying, and supporting cloud-native infrastructure.
• Experience implementing automation using scripting languages such as Python, PowerShell, Bash, or similar.
• Good understanding of cloud networking, identity management, security, and governance.
• Experience supporting production environments and participating in incident response activities.
• Knowledge of monitoring and observability platforms and operational best practices.
• Experience with Linux and/or Windows administration.
• Strong troubleshooting and problem solving skills.

Nice to Have

• Experience supporting Amazon Bedrock, including foundation model integrations and AI platform infrastructure.
• Experience with Azure AI Foundry (formerly Azure AI Studio) and related AI services.
• Experience with container platforms and Kubernetes (EKS, AKS, or similar).
• Experience with CI/CD platforms and DevOps practices.
• Experience with configuration management tools such as Ansible.
• Knowledge of OpenTelemetry, observability, and platform monitoring standards.
• Experience with multi-account AWS environments and cloud governance frameworks.

Preferred Experience

• Experience supporting AI, Data Science, Machine Learning, or Generative AI teams.
• Experience working in regulated environments such as Financial Services, Payments, Banking, Healthcare, or other compliance-driven industries.
• Relevant AWS, Azure, Terraform, Kubernetes, or cloud platform certifications

What Success Looks Like

• Secure, scalable, and reliable platforms supporting Planet's AI initiatives.
• Increased automation and reduced operational overhead through Infrastructure as Code and platform engineering practices.
• Faster delivery of cloud infrastructure and services to AI teams.
• Stable and well-governed AWS and Azure environments.
• Improved platform reliability, security, and operational effic