Jamie Poole
Head Of Basecamp Technology at G-Research
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJamie Poole is a seasoned engineering leader based in London with two decades of industry experience and a decade in senior technology roles at G-Research, now serving as Head of Basecamp Technology. He builds and runs high-performing software development and platform engineering teams, with deep technical expertise in containerisation, high-performance computing and large-scale scheduling. Jamie has hands-on open-source contributions to Armada, a Kubernetes-native multi-cluster batch queuing system, reflecting his practical experience in job scheduling and backend APIs for high-throughput workloads. His background spans financial services, government and defence, and he’s known for translating complex infrastructure needs into pragmatic, production-ready platforms. Collected training in mathematics and physics underpins a methodical, results-oriented approach—he’s also notably focused on execution and getting things done.
10 years of coding experience
10 years of employment as a software developer
MSci Mathematics and Physics, MSci Mathematics and Physics at Durham UniversitySaint Olave's Grammar School
English
Github Skills (10)
kubernetes10
g10
go10
api10
apidoc10
kubernetes-pods10
go-gin10
grpc9
microservices8
microservices-application8
Programming languages (7)
Github contributions (5)
armadaproject/armada
Jun 2019 - Oct 2022
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 reviews, 50 commits, 58 PRs in 3 years 4 months
Contributions summary:Jamie primarily contributed to the back-end logic and API of the Armada project, focusing on the queue management system. Their work involved implementing API endpoints for job management (lease, renew-lease, done) using the Gin framework. They also modified code related to the executor and submitter services within the Armada system, suggesting involvement in job processing and submission aspects. These changes are indicative of their contribution to the core functionality of this Kubernetes-based batch queuing system.
slurmbatchmulti-clusterqueuing-systemworkloads
cncf/research-user-group
Sep 2019 - Nov 2021
📚 👨🔬 👩🔬 Discussion and advancement of Research Computing using Cloud Native technologies
Contributions:5 reviews, 4 commits, 3 PRs in 2 years 2 months
research-computingtechnologiesdockerkubernetescomputing
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