The Role...

Our expert team of .Net developers work closely with our team of quantitative analysts and traders to solve complex modelling problems. This includes simulating full sporting events using cutting-edge data science techniques and doing so thousands of times in milliseconds. We build large-scale, parallel, high-throughput pricing systems that calculate thousands of odds across different sporting events for our customers around the globe. We are currently looking to grow this team with experienced Software Engineers who are as excited about this stuff as we are. This is a demanding and rewarding role for a developer focused on performant back-end systems.

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

What you'll be doing...

• 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

What we need from you...

• Min of 5 years enterprise experience with C#
• Bachelors/Master's degree in computer science, engineering or related discipline
• 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
• .Net Core
• Comfortable using Linux
• An understanding of probability
• Exposure to build pipelines and automated production deployment systems
• Experience developing distributed systems

Advantageous, but not required:

• Maths, probability theory, statistics, and modelling
• Experience using (or willingness to learn) R and/or Python for data science
• C++ experience
• Experience using message queues: Kafka and RabbitMQ
• Actor system experience
• Experience developing parallel systems
• Experience with low-latency systems
• Exposure to cloud technologies
• Knowledge of gaming and an interest in sport
• Experience in financial trading systems, derivatives, etc.