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SI
Staff Software Engineer (Data)
Sift · United States
About The Role
Join our team as a Staff Software Engineer (Data) and play a crucial role in defining core architecture and scaling our real-time telemetry platform. You will work on complex backend systems, design and build a horizontally scalable platform, develop efficient database solutions, and pioneer data architecture. You will collaborate closely with peers and help define engineering culture, standards, and processes. This is an opportunity to be part of a tight-knit team of world-class engineers building foundational systems for next-gen machines.
- Define core architecture and help scale a real-time telemetry platform from the ground up.
- Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second.
- Collaborate closely with peers on architecture, design, code reviews, and scaling strategies.
- Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent
- Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
- Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
- Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
- Strong communication skills and a collaborative approach to problem-solving
- Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar
- 7+ years of experience in backend, infrastructure, or data engineering roles
- Experience building resilient, performant systems that scale to billions of records
- Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
- Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
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