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# Staff Backend Engineer

- **Company:** Sift
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $200,000 - $250,000
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Apache HTTP Server, Cloud Computing, Code Review, Databases, Data Architecture, Information Engineering, Data Infrastructure, Linux, DevOps, Distributed Systems, Github, Protocol Buffers, Python (Programming Language), PostgreSQL, Octopus Deploy, Prometheus, SQL Databases, Data Streaming, TypeScript, Rust (Programming Language), Parquet, ReactJS, Grafana, Backend, Build Management, Kubernetes, Information Technology, Druid, Low Latency, Apache Flink, Apache Kafka, Front End Software Development, Terraform, Stream Processing, Grpc, Docker
- **Published:** November 9, 2026
- **Apply:** https://www.juju.com/job/28_25197_1aaf11e69adf9c0c1878ccec0483ff02

## About the Role

* 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, * Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
 * Experience building resilient, performant systems that scale to billions of records
 * Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques

## Description

* 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, You'll join a tight-knit team of world-class engineers building foundational systems for next-gen machines. Technologies you'll work with may include:
 * 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