Senior Software Engineer - Multiple Teams

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.

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. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. 

UP teams are segmented into multiple areas including: 

Platform Engineering - Teams within platform engineering provide cross-cutting capabilities that enable other teams to focus on domain- or business-specific needs by streamlining and standardizing technical approaches. For example, one of these teams provides data table, identity and access management, and pub-sub capabilities as a service to engineering teams. 

Domain Engineering - Teams within domain engineering have critical capabilities that extend beyond a single trading strategy or business area. They build services and data products to optimize a broad array of use cases. For example, one team processes third-party trade and order feeds in real time to keep DRW informed of its trading activity. Another team manages DRW’s proprietary investment book of record providing latency-sensitive ingestion of the firm’s trading activity and providing both real-time and on-demand analytics.

We are passionate about finding the best team and role for each candidate through the interview process, as we learn more about each person's current skills and long-term development goals. 

Expectations: 

• Building systems with a constant focus on testing, reliability, scalability, and maintainability.
• Designing, modeling, and programming in a variety of languages and technologies. 
• Working on legacy code as well as green field development.
• Initiative driving projects to completion.
• Learning and promoting new technologies with a focus on best practices.
• Providing on-call support as needed.
• Sometimes working alongside other developers on the same task. 

Desirable Experience: 

We are looking for strong developers of any stripe, but familiarity with the below will give candidates a leg up in working on our systems. 

• Multiple years of server-side development.
• A solid understanding of micro-service architectures and CAP theorem.
• A good understanding of functional paradigms and type theory.
• Confident JVM knowledge.
• Modern programming languages knowledge in our primary languages (Java, Python, Clojure).
• Experience with Airflow or other Python-based workflow orchestration tools.
• Proficiency in domain-driven design and domain modeling.
• Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git.
• Working knowledge of SQL, HTML, CSS, and JavaScript.
• Using AI coding assistants to accelerate development while owning the outcome.
• Exposure to agentic frameworks or MCP server development.
• Knowledge of financial concepts, exchange trading, or physical energy trading. 

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