Job Url: https://www.remoterocketship.com/company/sleeper/jobs/backend-engineer-risk-and-trading-united-states-remote

Job Description: 
Sleeper
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Sleeper is a leading fantasy sports platform, offering a variety of fantasy games including Fantasy Football, Fantasy Basketball, and Fantasy League of Legends (LCS). With millions of users, Sleeper allows players to join leagues, draft teams, and compete in seasonal games. 

The platform offers popular game modes such as Redraft, Auction, and Dynasty, and is known for its engaging user experience across web, iPad, and mobile devices. Sleeper also features community-centric functionalities like chat channels and news alerts, making it a comprehensive platform for fantasy sports enthusiasts. 

Mobile Application Development • Social Enterprise • Fantasy Sports • Mobile Messaging


11 - 50 employees

🎮 Gaming

⚽ Sports

Backend Engineer - Risk and Trading
9 hours ago

🏄 California – Remote


🎰 Nevada – Remote


⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Amazon Redshift

BigQuery

Cassandra

Distributed Systems

Django

Elixir

Erlang

Google Cloud Platform

Grafana

GRPC

Kafka

Kubernetes

Prometheus

Python

Redis

Rust

SQL

Terraform

Go

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📋 Description
• Sleeper is a rapidly growing platform for sports fans with messaging and gameplay at its core.
• You'll own the data plumbing that powers real-time pricing, risk analytics, and settlement.
• Design & implement real-time data pipelines (Python, SQLX, BigQuery) that ingest odds, bets, and exposure signals with low latency.
• Build and operate backend micro-services for pricing, settlement, and limit management that expose clean gRPC/REST contracts to our Elixir cluster.
• Architect a feature store that serves models in production and supports ad-hoc analytics with strong data governance.
• Integrate streaming & pub/sub systems (Kafka / Google Pub/Sub) with caching layers (Redis, ScyllaDB) to guarantee consistency under high throughput.
• Harden CI/CD, observability, and incident-response runbooks so data integrity issues surface before they hit users.
• Partner with data scientists to deploy and monitor models end-to-end, from training to online inference.
• Own projects from ideation through production, balancing delivery speed against the safety demands of real-money systems.

🎯 Requirements
• 4+ years of backend and/or data-engineering experience with Python (FastAPI, Django, or similar) plus strong SQL chops.
• Proven track record designing distributed systems that handle high-volume, low-latency workloads.
• Experience with stream processing (Kafka, Pub/Sub, Flink or Beam) and warehouse technologies (BigQuery, Snowflake, or Redshift).
• Comfortable—or eager to learn—Elixir/Erlang and other functional stacks.
• Pragmatic engineer who anticipates edge cases and failure modes in financial or real-time environments.
• Calm, methodical communicator during incidents; you thrive under pressure.
• Preferred Skills (Nice to Have)
• Prior work with ScyllaDB/Cassandra, ClickHouse, or other wide-column / OLAP stores.
• Hands-on experience with Kubernetes, Terraform, GitLab CI, and observability stacks (Prometheus, Grafana, OpenTelemetry).
• Familiarity with Rust, Go, or C++ for ultra-low-latency components.
• Knowledge of risk modeling, market-making algorithms, or sports-betting infrastructure.

🏖️ Benefits
• Competitive salary and stock options
• Comprehensive health, dental, and vision insurance
• 401(k)
• Flexible working hours and remote-first culture
• Clear paths for career growth and leadership

Apply Now