About Planet
Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.
We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.
Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.
Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.
Role Overview
This is a long-term fixed-term contract designed to support Planet’s AI-first engineering scale-up project.
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 efficiency.
- Successful adoption of reusable, self-service platform capabilities.
- Strong collaboration between Cloud, Platform Engineering, Security, and AI teams.
Why Planet
Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.
Come and grow your career in the most exciting, fast-paced technology market, with a business that delivers feel-good connected commerce.
We would love to hear from you. Apply now.
At Planet, we embrace a hybrid work model, with three days a week in the office.
Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.
