Staff Software Engineer - Market Making

FanDuel

Remote
Remote
Low-latency, event-driven services
Quantitative modeling practices and coding
Build real-time quoting and decisioning
We’re growing our Market Making Engineering team that works on some of the coolest software in the industry - the systems that quote, price, and manage risk in real time for high-volume, high-velocity sports markets

Job Summary

  • We’re growing our Market Making Engineering team that works on some of the coolest software in the industry - the systems that quote, price, and manage risk in real time for high-volume, high-velocity sports markets.
  • As a Staff Software Engineer, you will lead an empowered, multidisciplinary team, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players.
  • From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.

Matching Summary

We’re growing our Market Making Engineering team that works on some of the coolest software in the industry - the systems that quote, price, and manage risk in real time for high-volume, high-velocity sports markets.

Skills & Requirements

Must-have

  • low-latency, event-driven services
  • quantitative modeling practices and coding
  • build real-time quoting and decisioning
  • implement and maintain risk controls
  • high-quality decision logging
  • streaming technologies (Kafka)
  • event-driven / real-time systems

Nice-to-have

  • pragmatic solutions to complex problems
  • empathetic communicators
  • continuous improvement
  • passion for learning
  • challenging the norm
  • creative problem-solving ability
  • humble, pragmatic, self-managed

Key Requirements

  • 7 or more years of industry experience
  • 7 or more years of software development experience
  • Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline
  • Proficient in building services with a modern OOP language
  • Understanding of performance, hardware, and lower level memory management
  • Proficient in working with GitOps Patterns
  • Experience working with CI/CD pipeline tooling
  • Experience working with cloud-based infrastructure and technologies
  • Knowledge of AWS
  • Experience interacting and designing relational databases
  • Understanding of containers (e.g. Docker), and orchestration (Kubernetes)
  • Demonstrated abilities driving operational excellence and on call support
  • Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC
  • Experience working in an Agile environment
  • Familiarity with concepts like exposure, hedging, inventory/position, and performance measurement
  • Experience with backtesting/simulation, replay tooling, or strategy evaluation workflows

Work Rights

Not specified

Tailored Resume

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