Staff Backend Engineer, Sift

• Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
• 7+ years of experience in backend, infrastructure, or data engineering roles
• Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar
• Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent
• Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
• Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
• Strong communication skills and a collaborative approach to problem-solving

Desirable

• As an early engineer focused on our data infrastructure, you won’t just write code—you’ll define core architecture and help scale a real-time telemetry platform from the ground up. You’ll work on complex backend systems designed to ingest, store, and serve millions of high-frequency data points per second, enabling faster iteration cycles for some of the most advanced engineering teams in the world
• Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second
• Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads
• Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs
• Help define engineering culture, standards, and processes
• Collaborate closely with peers on architecture, design, code reviews, and scaling strategies
• Frontend & Backend: Go, gRPC, PostgreSQL, Protobuf, React, TypeScript
• Data Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, Rust
• Ops & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux