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# Platform Engineer

- **Company:** Ai.
- **Location:** United Kingdom
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, Machine Learning, Machine Learning Operations, Terraform, Docker
- **Published:** November 11, 2026
- **Apply:** https://startup.jobs/platform-engineer-faculty-8736744

## About the Role

* You are pragmatic and outcome-focused, balancing the big picture with the details to execute complex projects in the real world.
 * You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done.
 * You have a drive to learn, constantly exploring new technologies and novel applications for existing tools.
 * You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.
 * You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices.
 * You possess proficient knowledge of Networking and Cloud Security
 * You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.

## Description

We're looking for a Platform Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions., * Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping.

 * Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos.
 * Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.
 * Creating and maintaining reusable, company-wide libraries and infrastructure-as-code.
 * Researching and integrating the best open-source technologies to enhance Faculty's infrastructure capabilities., A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.