Responsibilities
- Expand event-driven strategies across exchange feeds, market news, social media, and infrastructure telemetry.
- Use Python and Jupyter for rapid signal analysis and translate findings into system improvements.
- Build and operate agentic harnesses with tools, context management, evaluations, guardrails, memory, retries, and human-in-the-loop boundaries.
- Apply LLMs to extraction, classification, triage, and research acceleration when appropriate.
- Own full-stack performance from the network edge through in-memory stores, including instrumentation, monitoring, and production debugging.
- Lead green-field initiatives, design reviews, and post-mortems.
Requirements
- 3–5 years of experience building real-time or data-intensive systems.
- Demonstrated depth with LLM behavior, tool use, structured output, context failure modes, cost and latency trade-offs, hallucination mitigation, and production harness design.
- Strong engineering fundamentals in Python, Go, or Rust; equivalent depth in another serious language may transfer.
- Deep knowledge of network programming and TCP, UDP, IP, DNS, BGP, HTTP(S), WebSocket, and QUIC.
- Ability to validate statistical significance, iterate from rapid proofs of concept to production, ship quickly, and communicate results to technical and non-technical audiences.
- Bachelor’s or master’s degree in Computer Science, Data Science, Mathematics, or a related discipline.
- Preferred experience with agent frameworks, MCP, RAG architectures, evaluation tooling, local or self-hosted inference, NGINX, Envoy, or custom load-balancing layers.
- Open-source contributions, technical blogging, conference speaking, or experience in high-pressure competitive domains are additional advantages.
Benefits
- Mentorship with experienced software developers, database administrators, and technical project managers.
- Paid postgraduate degrees, Dev Lightning talks, online learning support, and one-on-one Berlitz language tutoring.
- 40 hours of paid volunteer work annually at an organization of choice.
- Bi-weekly social activities, a monthly wellness plan, weekly on-site massages, and a games room.
- Daily catered breakfast and lunch with unlimited snacks and beverages.
- Competitive salary and matching RRSP.
- The role is based in DRW Montreal; additional benefits are listed on the company website.
Categories
About DRW
At DRW, we identify and capture trading and investment opportunities globally. What sets us apart is our diversified approach—trading across many asset classes and instruments, in markets around the world, with horizons from seconds to years. We succeed by leveraging technology, research and risk management. We offer the best of both worlds: the opportunity and spirit of a startup and the benefits and stability of an established, experienced firm. Our employees work hard to solve interesting problems, and their results are rewarded. We value continuous learning—from our outcomes, from the environment and from each other. It’s a place of high expectations, deep curiosity, and constant collaboration, with some of the smartest, most passionate people you’ll meet. // Chez DRW, nous identifions et saisissons les opportunités de négociation et d'investissement au niveau mondial. Ce qui nous différencie, c'est notre approche diversifiée : nous négocions sur de nombreuses classes d'actifs et d'instruments, sur des marchés du monde entier, avec des horizons allant de quelques secondes à plusieurs années. Nous réussissons en nous appuyant sur la technologie, la recherche et la gestion des risques. Nous offrons le meilleur des deux mondes: les opportunités et l'ésprit d’une entreprise en démarrage, et les avantages et la stabilité d'une entreprise établie et expérimentée. Nos employés travaillent dur pour résoudre des problèmes intéressants et leurs résultats sont récompensés. Nous valorisons l'apprentissage continu – de nos résultats, de l’environnement et de chacun de nous. C’est un lieu où les attentes sont élevées, la curiosité est profonde et la collaboration est constante, et où l’on retrouve quelques-uns des individus les plus intelligents et les plus passionnés que vous puissiez rencontrer.