Software Engineer - Backend

Responsibilities

• Architect and evolve distributed systems that ingest, process, and persist high-frequency telemetry and sensor data.
• Design storage and indexing strategies for large, time-series, and event-driven datasets with strict performance and correctness requirements.
• Tackle hard problems around scalability, backpressure, fault tolerance, and data consistency in real-time systems.
• Optimize hot paths, reduce tail latency, and improve reliability as the system scales with new customers and use cases.
• Collaborate closely with product, infrastructure, and customer-facing engineers to solve domain-specific problems for cutting-edge hardware teams.
• Influence backend architecture and technical direction, mentoring teammates, and raising the bar for system design across the org.

Requirements

• 3+ years building distributed systems where performance, reliability, and operational simplicity matter.
• Strong experience in Go, Rust, or Java, with an emphasis on correctness, clarity, and long-lived systems.
• Deep familiarity with cloud infrastructure (AWS, GCP, or Azure) and production tooling like Kubernetes, Docker, and Terraform.
• Hands-on experience designing or operating storage systems — time-series databases, columnar formats, or analytics engines (e.g., ClickHouse, TimescaleDB, Druid, InfluxDB, Parquet).
• Experience with streaming or data processing technologies such as Kafka, Apache Arrow, Flink, or Spark.
• Comfort reasoning about distributed systems tradeoffs — latency vs throughput, consistency vs availability, abstraction vs control.
• Clear technical communication and a bias toward ownership: you design it, build it, ship it, and operate it.

Compensation

Base pay range: $130,000 – $230,000 per year.