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Remote Backend Engineer - Risk & Trading
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Backend Engineer - Risk & Trading
at
Sleeper
Posted 11 hours ago
✅
2 applied
Description:
Sleeper is a rapidly growing platform for sports fans with messaging and gameplay at its core.
This role will focus on Python services that integrate tightly with Elixir, GCP, and distributed databases.
You will collaborate with product, data, and frontend teams to ship user-facing features that are fair, fast, and resilient.
Responsibilities include designing and implementing Python backend services for real-time risk management and trading operations.
You will build scalable infrastructure for pricing engines, market creation, settlement, and exposure management.
The role involves integrating with Elixir services via gRPC/REST, Kafka, and Redis to ensure consistency and low-latency performance.
You will architect distributed systems on Google Cloud Platform (GCP) using Pub/Sub, Cloud Run/Kubernetes, and BigQuery.
Developing robust monitoring, alerting, and CI/CD pipelines to ensure high availability and quick incident response is essential.
You will collaborate with data scientists on model deployment and optimize end-to-end latency from pricing to settlement.
The position requires owning projects from ideation through production, making thoughtful trade-offs in ambiguous, high-stakes environments.
Requirements:
Candidates must have 4+ years of backend engineering experience with a strong focus on Python (FastAPI, Django, or similar).
A proven ability to design and operate distributed systems handling high throughput and low latency is required.
Experience with message queues/streams (Apache Kafka, Google Pub/Sub) and caching layers (Redis) is necessary.
Candidates should be comfortable interacting with Elixir/Erlang or other functional stacks, or eager to learn.
A pragmatic engineering mindset that critically considers edge cases and failure modes, especially in financial or real-time systems, is essential.
The ideal candidate should be calm, methodical, and communicative during incidents, thriving under pressure.
Preferred skills include prior work with ScyllaDB/Cassandra or other wide-column distributed databases.
Familiarity with Rust, Go, or C++ for high-performance components is a plus.
Knowledge of risk modeling, market-making algorithms, or sports-betting infrastructure is beneficial.
Hands-on experience with Kubernetes, GitLab CI, and infrastructure-as-code tools (Terraform) is desired.
A deep understanding of observability tools such as Prometheus, Grafana, and OpenTelemetry is advantageous.
Benefits:
The position offers a competitive salary and stock options.
Comprehensive health, dental, and vision insurance is provided.
A 401(k) plan is available for employees.
Flexible working hours and remote work options are offered.
There are opportunities for career advancement within the company.