Backend Engineer - Risk & Trading

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Trading, Risk Management, FintechIndustries

Requirements

Candidates should possess 4+ years of backend engineering experience with a strong focus on Python, specifically with frameworks like FastAPI or Django. They must demonstrate the ability to design and operate distributed systems capable of handling high throughput and low latency, along with experience utilizing message queues/streams such as Apache Kafka or Google Pub/Sub, and caching layers like Redis. Familiarity with Elixir/Erlang or other functional stacks is preferred, and a pragmatic approach to considering edge cases and failure modes, particularly within financial or real-time systems, is required.

Responsibilities

The Backend Engineer - Risk & Trading will design and implement Python backend services that power real-time risk management and trading operations, building scalable infrastructure for pricing engines, market creation, settlement, and exposure management. They will integrate with Elixir services via gRPC/REST, Kafka, and Redis, architect distributed systems on Google Cloud Platform (GCP) using Pub/Sub, Cloud Run/Kubernetes, and BigQuery, and develop robust monitoring, alerting, and CI/CD pipelines. Furthermore, they will collaborate with data scientists on model deployment and optimize end-to-end latency, and own projects from ideation through production, making thoughtful trade-offs in ambiguous, high-stakes environments.

Skills

Python

FastAPI

Django

gRPC

REST

Kafka

Redis

GCP

Pub/Sub

Cloud Run

Kubernetes

BigQuery

Monitoring

CI/CD

Model deployment

Distributed systems

Low latency

High throughput

Financial systems

Real-time systems

Sleeper

Fantasy sports platform with social features

About Sleeper

Sleeper operates a platform for managing fantasy sports leagues, particularly focusing on fantasy football and bracket pools. Users can engage with the platform through features like in-app chat, live game watching, and an easy-to-navigate design, which fosters communication and shared experiences among sports fans. Unlike many competitors, Sleeper does not rely on advertisements for revenue; instead, it offers premium features and services, such as advanced draft modes and customization options, to enhance the user experience. This focus on quality and user engagement has led to significant growth, with over 4 million users and high retention rates. Sleeper's goal is to create a social and immersive fantasy sports environment that keeps users engaged throughout the sports season.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$67.3MTotal Funding

SERIES_CCompany Stage

Consumer Software, GamingIndustries

51-200Employees

Benefits

Health Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

Risks

New fantasy sports platforms with innovative features may erode Sleeper's market share.

Sports betting apps integrating fantasy elements may attract users from Sleeper.

Stricter data protection regulations could impact Sleeper's data-driven features.

Differentiation

Sleeper offers an ad-free experience, unlike many competitors in the market.

The platform includes in-app chat and live game watching for enhanced user interaction.

Sleeper focuses on a premium user experience with advanced draft modes and customization.

Upsides

Increased interest in women's sports offers expansion opportunities for Sleeper.

Blockchain integration can enhance security and transparency for Sleeper users.

The rise of micro-betting could boost user engagement on Sleeper's platform.

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