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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