Summary
✨ AI‑Generated
A hardware data infrastructure company seeks a Staff Software Engineer to design scalable platforms for processing hardware sensor data. Develop durable database solutions, pioneer cloud-native architectures, and collaborate on scaling strategies. Experience with streaming technologies essential.
Highlights
Pioneer data architecture innovations for mission-critical physical systems, build horizontally scalable platforms, and shape engineering culture at a cutting-edge hardware data infrastructure company.
Description
About Sift
Sift is the data infrastructure platform for hardware engineering teams.
Sift turns high-frequency telemetry into engineering insights for mission-critical systems.
Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
In This Role, You'll
Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per secondDevelop durable, efficient database solutions to support real-time reads and large-scale analytics workloadsPioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designsHelp define engineering culture, standards, and processesCollaborate closely with peers on architecture, design, code reviews, and scaling strategies
The Skillset You'll Bring
Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline7+ years of experience in backend, infrastructure, or data engineering rolesHands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similarProficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalentExperience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or PythonFamiliarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and TerraformStrong communication skills and a collaborative approach to problem-solving
Bonus Points
Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and ParquetExperience building resilient, performant systems that scale to billions of recordsCuriosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
Engineering At SIFT
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, TypeScriptData Infrastructure: Apache Arrow, DataFusion, Flink, Kafka, Parquet, RustOps & Tooling: AWS, Kubernetes, Docker, GitHub Actions, Prometheus, Argo CD, Grafana, Linux
Location:
Sift’s headquarters is in Marina Del Rey, CA (Next to LAX).
We collaborate in person twice a week—on Mondays and Thursdays—and come together for a full week every two months.
We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.
Salary range: $200,000 - $260,000 per year.
Plus equity and benefits.
Eligibility
U.S.
Person Required: Must be a U.S.
citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.
