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Maven is a market-leading proprietary trading firm with offices in London, Chicago, and beyond. The Linux Engineering team maintains the Linux estate across 10 datacentres in Europe and the US, including bare-metal and Kubernetes clusters, both on prem.
The role focuses on deployment, monitoring, problem diagnosis and scalable storage for trading applications. We value practical, data-driven decision making, automation and sharing techniques across teams, with a relaxed yet high‑performance
Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market‑making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.
Maven has a culture that is relaxed and informal but highly rewarding of strong performance; We have offices in London, Amsterdam, Hong Kong, New York and Chicago. Our Infrastructure team is a set of broad‑minded technologists, who focus on continuously improving the end‑to‑end resiliency, scalability, visibility and supportability of Maven's trading systems.
The Linux Engineering team is responsible for the deployment, maintenance and stability of the Linux server estate at Maven. The Linux estate spans 10 datacentres between Europe and the US and supports all trading applications. Our environment consists of both bare‑metal deployments and containers supported in an expanding set of Kubernetes clusters all running on prem. The team sits in Chicago and London and covers the European and US market hours.
We proactively monitor our infrastructure for faults and performance degradation, translate technical issues to our trading teams, design and test new hardware, kernels and operating systems, manage our centralised storage arrays that support our data pipelines, build and maintain databases and keep on top of updates in the Linux open source community. We use a lot of common open‑source tooling to gather as much data from our platform as we can and we give ourselves time to properly dive into problems to make sure we have as clear a picture as possible.
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