Remote Staff Software Engineer - Market Making in Cardiff

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 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. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. You will help make technical decisions that will impact the broader organisation. This necessitates empathetic communicators with a commitment to outreach, documentation, assisting others, and continuous improvement.

You are a significant and autonomous contributor and leader. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You lead your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimise incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development.

You should have most, or all, of the following skills:

• Experience in both quantitative modeling practices and coding.
• You will be assisting in the creation of models/strategies and working with other engineers on your team to productionalize this software.
• You work in project ideas with stakeholders and peers.
• You own parts of product and technology humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm.
• Responsible for the state of the code you both inherit and produce.
• Creative problem-solving ability.
• A passion for learning and always getting better.

Everyone on our team has a part to play:

• Degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or related discipline.
• 7 or more years of industry experience in an Engineering field, Machine Learning, Data Science, Finance Engineering, or Statistics.
• 7 or more years of software development experience.
• Proficient in building services with a modern OOP language (C#, or Java 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.
• Experience building event-driven / real-time systems where observability (logs/metrics/traces) and safe rollout patterns are critical.
• Familiarity with concepts like exposure, hedging, inventory/position, and performance measurement in decision systems.
• Experience with backtesting/simulation, replay tooling, or strategy evaluation workflows.

We treat our team right. 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. Competitive compensation is just the beginning. As part of our team, you can expect:

• An exciting and fun environment committed to driving real growth.
• Opportunities to build really cool products that fans love.
• Career and professional development resources to help you refine your game plan for owning and driving your career and development.
• Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another.

FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgment or harassment. Our focus is on developing employees so that they reach their full potential.