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Quant Platform Engineer

Saragossa

RemoteLondon Area, United KingdomFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering

Skills

Machine LearningKubernetesTerraformDevOpsNext.jsAWSAI

Description

Be the first DevOps Engineer at a hedge fund who are backing AI. You own the entire DevOps footprint from day one. This is a lean, 50-person hedge fund investing in AI strategies. There is no bureaucracy, no legacy mess to untangle and no committee to answer to. Just you, a greenfield environment and the autonomy to build it properly. You are coming in as the first dedicated infrastructure hire. That means the architecture decisions are yours, the tooling choices are yours and the platform you build will carry your fingerprints for years to come. If you have ever wanted sole ownership of something that genuinely matters, this is it. Day to day you are designing and building out cloud infrastructure on AWS, managing Kubernetes clusters and writing Terraform that people will actually want to maintain. You are setting the standards, choosing the stack and laying foundations that the wider engineering team will build on. Because this is a hedge fund investing heavily in AI, you will be working closely with quant and data teams. The infrastructure you build is not just keeping the lights on. It is enabling serious machine learning workloads and giving the firm a genuine edge. You will need to understand that context and care about it. You are comfortable across AWS, Kubernetes and Terraform. You have owned a platform before rather than just contributed to one. This would be a strong next move if you are currently a senior engineer looking to step up and lead something from scratch, without moving into a large enterprise where that opportunity disappears into a backlog. Ready to build something that is actually yours? Get in touch. No up-to-date CV required.

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