Software Engineer (Research & Engineering)

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.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.

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

We build the systems that turn real-world events into actionable signal, at low latency and high reliability in a trading environment where being right second is the same as being wrong. This role sits at the intersection of research and infrastructure: you'll form hypotheses, prove them with rapid analysis, and then build the production systems that act on them.

they wield a profiler and who know exactly where each one stops being trustworthy.

Discovery & Research

Expand our event-driven strategy across exchange feeds, market news, social media, and infrastructure telemetry.

Spin up rapid analyses in Python/Jupyter to assess signal quality, and turn what you find into system improvements.

Build and operate agentic harnesses — tools, context management, evals, guardrails — that do real work against our data and infrastructure, and own their quality in production.

Apply LLMs where they genuinely win (extraction, classification, triage, research acceleration) and make the call to not use one where they don't.

Infrastructure & Technical Leadership

Own full-stack performance from the network edge to in-memory stores — instrumenting, monitoring, and debugging production systems alongside operations, keeping SLOs razor-sharp.

Lead green-field initiatives, design reviews, and post-mortems.

3–5 years building real-time or data-intensive systems (we weigh trajectory and depth over the exact number).

• Depth with LLMs, not just usage — how these models actually behave (context and its failure modes, tool use, structured output, cost/latency trade-offs, bounding hallucination) and how to build the harness around one: tools, memory, retries, evals, human-in-the-loop boundaries. Bring something real you shipped and can walk us through end to end, including what broke.
• Strong engineering fundamentals in Python, Go, or Rust. A preference, not a gate — deep systems experience in another serious language transfers.
• Deep knowledge of network programming and protocols — TCP/UDP/IP, DNS, BGP, WebSocket, QUIC.
• Rapid POCs to production — validate statistical significance, iterate quickly, ship, and explain the result to technical and non-technical audiences alike.
• Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a related discipline.

You want problems that are genuinely hard and measurable — where the scoreboard is real and public inside the team.

You move fast without being sloppy, and you'd rather ship, measure, and correct than deliberate indefinitely.

You're comfortable being wrong quickly and in public, and you update rather than defend.

Bonus Points

Depth in the current LLM ecosystem — agent frameworks, MCP, RAG architectures, eval tooling, or local/self-hosted inference.

Open-source contributions, technical blogging, or conference speaking.

Mentorship with experienced software developers, database administrators, and technical project managers

• Continuous learning through paid postgraduate degrees, Dev Lightning talks, online learning support and 1 on 1 language tutoring with Berlitz
• 40 hours of paid volunteer work at the organization of your choice
• Bi-weekly social activities, monthly wellness plan, on-site weekly massages, and games room
• Enjoy daily catered meals (breakfast and lunch) with unlimited snacks and beverages
• Competitive salary, matching RRSP

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