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 roleWe’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 youYou 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.
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.
Skills Required
- Experience building backend services in Python from design to production
- Comfortable with streaming data pipelines, pub/sub, and real-time messaging systems
- Designing for throughput, reliability, and fault tolerance in distributed systems
- Ability to simulate high-load conditions and deliver testable, measurable, production-ready code
- Experience with Kafka, RabbitMQ, Redis, Postgres, or DuckDB in production
- Familiarity with async frameworks (asyncio, Celery) for task queues and background jobs
- Hands-on experience with real-time protocols (WebSockets, gRPC streaming) and event-driven architectures
- Prior exposure to observability or monitoring platforms in high-scale environments
- Track record building or scaling high-throughput ingestion pipelines
- Experience with Terraform and contributing to infrastructure design
What We Do
yeet builds a high-performance monitoring and system-analysis platform for Linux environments, from cloud to edge. Its toolkit uses low-level kernel and eBPF instrumentation to collect, filter, and visualize real-time system data, helping engineers identify bottlenecks, anomalies, application behavior, GPU activity, and performance issues. The company also presents yeet as a JavaScript runtime for Linux operations, combining developer tooling with observability and profiling capabilities.
