Software Engineering Director

Edinburgh, Scotland · Edinburgh · 5+ years experience · Posted Oct 2, 2026

At a glance

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

FanDuel is seeking a Software Engineering Director to lead teams within the Customer Product Engineering (CPE) domain, which builds payments, onboarding, geolocation, and player integrity systems.
This is a hands-on leadership role where you will manage managers and senior engineers, set technical direction, and work closely with product, compliance, risk, and finance teams.

Lead multiple engineering teams within CPE, setting a clear technical vision for each area and holding delivery to it.
Own customer outcomes measured by registration and verification completion, time to first bet, deposit and withdrawal success rates, payout speed, geolocation pass rates, and availability of whole journeys.
Set the standard for availability and operational excellence, including KPIs, instrumentation, and the discipline to distinguish genuine degradation from noise.
Prepare for event-driven peak load so that the biggest days in the sporting calendar are rehearsed with proven capacity, failover, and degradation behavior.
Reduce the blast radius of third-party failure across payment providers, identity and KYC vendors, and geolocation suppliers using redundancy and graceful degradation.
Treat regulation as an engineering requirement, designing for auditability, evidence, data boundaries, and jurisdictional variation from the start.
Hold responsible gaming and player integrity to the same product standard as any revenue-generating feature.
Simplify the inherited estate by retiring duplicated capability, reducing coupling, and improving lead time to change.
Set the standard for how AI is used across the software lifecycle, ensuring evidence of effect on throughput, quality, and security.
Make sure the right people are in the right jobs through hiring, development, performance management, and creating leadership opportunities while leading with empathy.

10+ years in a software role, with 5+ years leading engineering teams and experience leading other managers.
A track record of delivering and running high-volume transactional systems where correctness, money, and customer trust are at stake.
Experience with highly available, fault-tolerant systems under extreme, event-driven peak load, from design through production support.
Experience building on third parties at scale, including payment service providers, KYC and identity vendors, or geolocation suppliers.
Comfortable working in a regulated environment where auditability, evidence, and data boundaries shape the design.
Experience with observability and with using data and KPIs to make engineering decisions.
Deep experience in modern back-end languages, functional and object-oriented, including Java, and with cloud infrastructure, containers, and orchestration.
Hands-on understanding of AI-assisted software development with a considered view of its application in a regulated environment.
Experience defining and implementing software delivery practices and agile methods.
Degree in Computer Science, a related field, or equivalent practical experience.