FanDuel is America's #1 Sportsbook. We make every moment more.
Senior Software Engineer
Location
United States + 6 moreAll locations: United States, United Kingdom, Canada, Australia, Portugal, Ireland, Romania
Posted
3 days ago
Salary
Not specified
Job Description
Role Description
Our roster has an opening with your name on it. 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. This work spans the full RFQ/quote lifecycle (request → quote → accept → outcome) in low-latency, event-driven services.
The team you will join works with quantitative analysts and trading/risk stakeholders to implement and run market making strategies, while proactively identifying opportunities for technical innovation within the Risk and Trading organization. Our stakeholders are the people who establish prices and manage risk for the #1 sports book in America!
As a Senior Software Engineer within FanDuel’s Market Making Technology team, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to:
- Implement creative, high-quality solutions
- Scope effort and timelines
- Balance priorities of our stakeholders and engineering needs
This team will work closely to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software.
You will work directly with quantitative analysts at FanDuel to improve our market making capabilities. You will be a domain expert on strategy implementation (quoting/decision logic) and how that fits into the larger Risk and Trading landscape — including real-time risk controls, execution outcomes, and performance measurement.
You will help ensure robust guardrails (limits, throttles, kill switch) and high-fidelity decision logging so strategies can be debugged, replayed, and improved (e.g., quote ratio, win rate, expected vs realized margin). You will go beyond the software developer role, and will be called upon to identify opportunities yourself in the quantitative space to innovate through technology.
Qualifications
- Experience in both quantitative modeling practices and coding.
- Ability to assist in the creation of models/strategies and work with other engineers to productionalize this software.
- Experience working in project ideas with stakeholders and peers.
- Ownership of parts of product and technology & become subject matter experts.
- Ability to write simple and extendable code following standards and best practices.
- Experience in balancing customer requirements with team requirements.
- Participation in the code review process, design discussions, team planning, and ticket/metric/COE reviews.
- Ability to classify, store, and handle data in accordance with FanDuel policies.
- Focus on operational excellence, constructively identifying problems and proposing solutions.
- Ability to resolve the root cause of complex problems.
- Ability to train new team-mates on how your team's software is constructed and operates.
- Participation in recruiting and interviewing for your team.
- Ability to estimate stories/tasks accurately and deliver them on time.
- Mentoring and helping to develop others.
- On-call rotation where required.
- Keeping up to date with market standards and open-source frameworks.
Requirements
- Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline.
- 5 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics.
- 5 or more years of software development experience.
- Proficient in building services with a modern OOP language (C# experience is beneficial).
- Understanding of performance, hardware, and lower level memory management (C, C++, or Rust experience is beneficial).
- A fundamental understanding of data structures and algorithms.
- Proficient in working with GitOps Patterns.
- Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
- Experience working with cloud-based infrastructure and technologies.
- Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
- Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
- Experience interacting and designing relational databases.
- Experience with streaming technologies (Kafka is nice to have).
- Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
- Proficiency in translating requirements into design and developing applications.
- 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.
Benefits
- Interesting work in a fast-paced and ever-changing industry.
- A sense of achievement owning your own software.
- Clear and defined career pathways for every role at every level.
- A supportive manager and loads of learning opportunities.
- 10% of your time to dedicate to your learning.
- A trusting work environment where productivity is valued.
- Great financial package including salary, bonus, pension, private healthcare, share save scheme, flexible working & holiday policy.
Job Requirements
- Experience in both quantitative modeling practices and coding.
- Ability to assist in the creation of models/strategies and work with other engineers to productionalize this software.
- Experience working in project ideas with stakeholders and peers.
- Ownership of parts of product and technology & become subject matter experts.
- Ability to write simple and extendable code following standards and best practices.
- Experience in balancing customer requirements with team requirements.
- Participation in the code review process, design discussions, team planning, and ticket/metric/COE reviews.
- Ability to classify, store, and handle data in accordance with FanDuel policies.
- Focus on operational excellence, constructively identifying problems and proposing solutions.
- Ability to resolve the root cause of complex problems.
- Ability to train new team-mates on how your team's software is constructed and operates.
- Participation in recruiting and interviewing for your team.
- Ability to estimate stories/tasks accurately and deliver them on time.
- Mentoring and helping to develop others.
- On-call rotation where required.
- Keeping up to date with market standards and open-source frameworks.
- Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline.
- 5 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics.
- 5 or more years of software development experience.
- Proficient in building services with a modern OOP language (C# experience is beneficial).
- Understanding of performance, hardware, and lower level memory management (C, C++, or Rust experience is beneficial).
- A fundamental understanding of data structures and algorithms.
- Proficient in working with GitOps Patterns.
- Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
- Experience working with cloud-based infrastructure and technologies.
- Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
- Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
- Experience interacting and designing relational databases.
- Experience with streaming technologies (Kafka is nice to have).
- Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
- Proficiency in translating requirements into design and developing applications.
- 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.
Benefits
- Interesting work in a fast-paced and ever-changing industry.
- A sense of achievement owning your own software.
- Clear and defined career pathways for every role at every level.
- A supportive manager and loads of learning opportunities.
- 10% of your time to dedicate to your learning.
- A trusting work environment where productivity is valued.
- Great financial package including salary, bonus, pension, private healthcare, share save scheme, flexible working & holiday policy.
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