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YeetYeetChicago, IL

Backend Engineer

Builds and scales Python-based backend systems for real-time observability platform, focusing on streaming data pipelines, high-throughput ingestion, and distributed reliability. Requires strong Python backend experience and distributed systems design skills.

Salary not listed
On-siteBackend Engineering

About the role

Responsibilities

  • Build and scale backend systems for real-time observability platform.
  • Work on streaming systems, high-throughput data ingestion, and async task pipelines.
  • Design for throughput, reliability, and fault tolerance in distributed systems.
  • Simulate high-load conditions and deliver testable, measurable, production-ready code.

Requirements

  • Solid experience building backend services in Python, from design to production.
  • Comfortable with streaming data pipelines, pub/sub, and real-time messaging systems.
  • Ability to design for throughput, reliability, and fault tolerance.
  • Pragmatic approach: know when to optimize and when to ship.

Nice To Haves

  • Experience with Kafka, RabbitMQ, Redis, Postgres, or DuckDB in production.
  • 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 in high-scale environments.
  • Track record of building or scaling high-throughput ingestion pipelines.
  • Experience with Terraform and contributing to infrastructure design.

Skills

PythonStreaming Data PipelinesPub/SubKafkaRabbitMQRedisPostgresDuckdbAsyncioCeleryWebSocketsgRPCTerraform
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