about 2 months ago
San Francisco, CA, USA or New York, NY, USAMid Level / Senior
Responsibilities
- Build and scale the log ingestion and processing pipeline.
- Design systems for high-throughput, low-latency data processing.
- Own storage, indexing, and query systems for logs.
- Ensure reliability, scalability, and cost-efficiency of backend systems.
- Work on distributed systems that power real-time observability.
- Debug and optimize performance at every layer of the stack.
Requirements
- Strong experience with distributed systems and data infrastructure.
- Familiarity with streaming systems, databases, and large-scale data pipelines.
- Deep understanding of performance tradeoffs such as latency, throughput, and cost.
- Ability to design systems from scratch, not just maintain them.
- Comfort working close to the metal when needed.
- Bonus: experience with observability platforms, logging systems, or time-series data.
Benefits
- Competitive salary and equity.
- Free lunches (in-office only).
- Health, dental, and vision insurance.
- Unlimited paid time off.
- Paid parental leave.