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Staff Backend Engineer

Sift Stack ·Marina Del Rey, CA ·Hybrid 101d ago
GoRustPythonPostgreSQLKubernetesApache KafkaApache FlinkAWSPrometheusArgoCDGrafanaDistributed Systems

About the role

Sift is a data infrastructure platform for hardware engineering teams, building tools for rockets, satellites, autonomous vehicles, and more. The Staff Backend Engineer will design, build, and operate backend systems for real-time telemetry, own features end-to-end, collaborate with Frontend, Design, and Data teams, optimize for performance and scalability, and participate in on-call rotations. The role contributes to system evolution and raises standards through code reviews and mentorship.

Requirements

Bachelor's degree in STEM, 7+ years backend/infrastructure experience. Proficiency in Go, Rust, or Python; strong Linux/networking. Deep SQL and operational database knowledge. Experience building and scaling APIs (REST, gRPC/Protobuf). Strong debugging and production-first mindset. Familiarity with Kubernetes, Prometheus, Argo CD. Nice-to-haves: streaming/time-series systems, performance tuning, observability, hardware/telemetry.

About the company

Sift Stack

Sift provides telemetry infrastructure for engineers in mission-critical industries like aerospace and defense. Their platform streamlines the process from prototype to operations by unifying data, accelerating test loops, and enabling faster decision-making. Sift replaces fragmented legacy tooling with an integrated solution for visualizing, analyzing, and reporting on complex hardware data.

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$200k–260k
Hybrid Marina Del Rey, CAMarina Del Rey, United StatesSan Francisco, United States
Posted 101d ago
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About the company
Sift Stack
https://www.siftstack.com

Sift provides telemetry infrastructure for engineers in mission-critical industries like aerospace and defense. Their platform streamlines the process from prototype to operations by unifying data, accelerating test loops, and enabling faster decision-making. Sift replaces fragmented legacy tooling with an integrated solution for visualizing, analyzing, and reporting on complex hardware data.

View company page →