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Hard Rock Digital
Hard Rock Digital

Senior Backend Engineer - Quantitative Sports

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Posted 16h agoApply before Nov 9

About the role

Role
Senior Backend Engineer - Quantitative Sports
Company
Hard Rock Digital
Location
Remote
Work model
Remote

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we're always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new

Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready to join us?

What's the position?

We are looking for a Senior Backend Engineer to join our Quantitative Sports team. We’re building the next generation of our in‑house pricing engine — a low‑latency, high‑throughput system that powers live odds for millions of users. As a Senior Backend Engineer, you’ll own major architectural decisions, partner directly with quantitative analysts, and shape the core backend that drives our sportsbook.

This is a high‑impact role with significant autonomy. If you thrive in fast‑moving environments and love solving complex real‑time engineering challenges, you’ll feel at home here.

What You’ll Do

Architect and build backend services that operate reliably under intense data and user load

Reduce system latency and optimize real‑time performance across the pricing pipeline

Collaborate closely with quantitative developers to integrate models and pricing logic

Design and maintain ingestion pipelines for multiple live data feeds

Implement robust testing and monitoring to ensure system resilience

Build internal tools that support trading, operations, and analytics teams

Contribute to technical strategy and long‑term platform evolution

Foster a culture of knowledge sharing and engineering excellence

Requirements

Core Requirements

8+ years of backend engineering experience

Deep proficiency in

Python for production systems

Experience with

low‑latency

, real‑time, or high‑throughput systems

Background in multi‑feed ingestion architectures

Strong understanding of microservices and distributed systems

Experience deploying and operating systems in

AWS

Familiarity with relational databases (Postgres, MySQL)

Experience with analytical stores (Snowflake, ClickHouse)

Strong knowledge of messaging systems (Kafka, RabbitMQ)

Excellent communication skills and comfort working cross‑functionally

Bonus Points

Experience with pricing engines, trading algorithms, or live odds generation

Interest in sports and sport analytics

Familiarity with game state feeds such-as Radar & Genius

Prior hands-on experience in sportsbook platforms is highly desirable

Who you are

Self-driven and comfortable owning large areas of the system

Meticulous in your approach to testing, reliability, and performance

Able to prioritize effectively in a fast-paced environment

Excited by complex technical challenges and real-time systems

What’s In It for You?

We offer our employees more than just competitive compensation. Our team benefits include:

Competitive pay and benefits.

Flexible vacation allowance.

A hybrid / remote working environment.

Startup culture backed by a secure, global brand.

Roster of Uniques

We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunity employer).

Originally posted on

Himalayas

Skills & Technologies

PythonAWSPostgreSQLMySQLKafka

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