Senior Java SWE – Low-Latency Sportsbook Pricing

Kindred (London) Limited; Greater London; On-site; GBP 90,000 - 135,000; Full time

Job summary

FDJ UNITED is seeking a Senior Quant Model Engineer to lead on building, optimising and deploying production-grade services for a cutting-edge sportsbook platform. You will work within the Pricing Engineering team, focusing on low-latency microservices, robust APIs, and scalable data products.

The role emphasizes hands-on technical delivery, architectural insight, and collaboration across the team to deliver high-quality software with strong SWE best practices.

Qualifications

• Minimum 5 years of commercial SWE experience implementing complex requirements in low-latency microservice architecture.
• Excellent Java skills (or similar languages) with high-quality, well-documented code.
• Experience with different architectures and systems to tackle new challenges.
• Ability to translate GAP/Architecture documents into deliverable work items.
• Strong written and verbal communication to explain complex topics to non-specialists.

Responsibilities

• Develop production-grade technical solutions to business requirements using appropriate design patterns.
• Refine and challenge requirements based on technical expertise and domain knowledge.
• Build robust APIs and streaming interfaces for access to models and data products.
• Promote SWE best practices for testing, observability, CI/CD, and automation.
• Critically review peers' solutions and code.

Skills

Java

Low latency

API design

Communication

Mentoring

Education

Masters or higher in STEM

Tools

Cloud-native environments

Job description

FDJ UNITED is seeking a Senior Quant Model Engineer to lead on building, optimising and deploying production-grade services for a cutting-edge sportsbook platform. You will work within the Pricing Engineering team, focusing on low-latency microservices, robust APIs, and scalable data products.

The role emphasizes hands-on technical delivery, architectural insight, and collaboration across the team to deliver high-quality software with strong SWE best practices.