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.

DRW

is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) creates and operates tooling to make building, running, and changing UP software more scalable, failure-proof, and intelligible. They bridge infrastructure and running services and balance developer autonomy with guard-rails. The team ensures that infrastructure underlying UP services is robust, resilient, and agile to adapt to evolving demands. UP - PI spearheads adoption of new tools and practices across the UP platform.

Build and operate shared services for dozens of software teams

Consolidate diverse and redundant approaches to common problems

Exercise stewardship over critical shared services.

Enable other teams to focus on business domains.

Support and teach users of the development platform you build

Influence outcomes through dozens of software teams

Embrace variety and challenge

Proficiency in at least one of Python, Go, Java, Ruby

Working knowledge of Kubernetes

Exposure to ETL systems at scale (e.g. Apache Airflow, Argo Workflows)

Exposure to streaming data platforms (e.g. Apache Kafka, RabbitMQ)

Working knowledge of networking fundamentals

Comfort deploying software to the cloud and on-premises

Record of accomplishment of empowering other engineers and teams

Exposure to modern observability practices

Experience troubleshooting important systems with limited time and information

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