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DRW in the United Kingdom is seeking a Senior Engineer for our Virtualization team to guide the design and implementation of a new OpenStack-based platform. You will help set engineering standards, define architectural decisions, and ensure cost-efficient, scalable infrastructure for trading desks and data science teams.
You’ll own and improve the OpenStack stack, automate repetitive tasks, coach peers, and troubleshoot complex production issues in a high-intensity environment.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Virtualization team provides scalable on-premises compute for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Senior Engineer for our Virtualization team who will help guide the design and implementation of a new OpenStack-based virtualization platform. In this role you will help guide key architectural decisions for this platform, set engineering standards, identify and eliminate risks, and ensure optimal performance and cost-efficiency.
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