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Yeet

Backend Engineer

ChicagoOnsite · United States
FullTime · Engineering
POSTED 28 SEPT 2025
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Role
410 days opentrue age
Posted 28 Sept 2025
Pay
$145k–$170kno pay posted
Market p25–p75
$145k–$170k
Chicago · n=3 · 365d to 10 Nov
CompanyYeet →
7open roles
Opened · 30d
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Closed · 30d
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Market
3,476open · Backend
Opened · 7d
+2357% of open
All backend
8,262open
All tracked boards · live 12 Nov · n=3,476
PythonPostgreSQLRedisKafkaTerraformDistributed systems

About yeet

yeet is built by a tight-knit group of systems, observability, and kernel nerds who refuse to accept “mystery outages” as normal. We’re a small, high-impact team with domain expertise in Linux, eBPF, performance instrumentation, and developer tooling.

We move fast, ship often, and take deep ownership. If you enjoy operating close to the metal, building tools that real engineers lean on during 3 AM incident sprints, and solving hard problems with minimal overhead, you’ll feel right at home here.

About the role

We’re looking for a Backend Engineer to help us scale the systems behind yeet’s real-time observability platform.

Our backend is composed primarily of Python micro services, but this isn’t just another “wrap an API around Postgres” role.

You’ll be working on streaming systems, high-throughput data ingestion, and async task pipelines that need to move fast, replicate elastically, and stay reliable under load.

About you

You have solid experience building backend services in Python, from design to production.

You’re comfortable with streaming data pipelines, pub/sub, and real-time messaging systems.

You understand how to design for throughput, reliability, and fault tolerance in distributed systems.

You can simulate high-load conditions and deliver code that’s testable, measurable, and production-ready.

You enjoy solving problems that don’t fit neatly into a CRUD API and like thinking about performance trade-offs.

You’re pragmatic: you know when to optimize and when to ship.

Nice To Haves

Experience with Kafka, RabbitMQ, Redis, Postgres, or DuckDB in production environments.

Familiarity with async frameworks like asyncio, celery, for task queues and background jobs.

Hands-on work with real-time protocols (WebSockets, gRPC streaming, event-driven architectures).

Prior exposure to observability or monitoring platforms, especially in high-scale environments.

A track record of building or scaling high-throughput ingestion pipelines for data storage and processing.

Experience with terraform and comfort contributing to infrastructure design.

Source · YeetFirst seen 7 NovOriginal ↗