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.NET Engineer

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Contract type:
Full Time
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The successful .Net developer will work closely with our team of quantitative analysts and traders to solve complex problems. This includes determining probabilities by performing Monte Carlo simulation of a full sporting event, and doing so fast enough to achieve sub-second latencies. Our pricing models are large-scale, parallel, low-latency systems that must calculate the odds of thousands of selections on a sporting event each time they are called.

Paddy Power Betfair Engineers:

  • Aren’t fazed by even the most complex problems
  • Are methodical and meticulous in solving problems
  • Are self-motivated and flexible to changing requirements and priorities
  • Take the time to understand the customer’s problem
  • Own the solution all the way to production
  • Write clean, maintainable, extensible, scalable, performant code
  • Believe that the best solutions are delivered when working as a team
  • Have strong interpersonal skills


  • Design and develop trading applications in C#
  • Use industry best practices
  • Write highly optimized, multi-threaded code
  • Understand the broader business context when architecting solutions
  • Drive continuous improvement across the department
  • Be a leader in the team and the department
  • Mentor more junior team members
  • Take a lead role in building and maintaining team culture and values
  • Support a wide range of production applications

Required Experience:

  • Enterprise experience with C#
  • Solid understanding of design patterns
  • Experience with automated unit, integration and end-to-end testing
  • Experience developing and fine-tuning performance-critical software that scales
  • Proven experience with parallel programming in C#: synchronization, TPL, multithreading and async/await
  • An understanding of probability
  • Bachelors/Master’s degree in computer science, engineering or related discipline

We also favour experience with:

  • .Net Core
  • Maths, probability theory, and statistics
  • Exposure to build pipelines and automated production deployment systems
  • Experience developing distributed systems
  • Exposure to messaging systems, e.g. RabbitMQ and Kafka
  • Experience developing parallel systems
  • Experience with low-latency systems

The following are not required, but are advantageous:

  • Experience with C++ development
  • Linux experience
  • Exposure to cloud technologies
  • Knowledge of gaming and an interest in sport
  • Experience in financial trading systems, derivatives, etc.