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Software Engineering Manager

Sift Stack ·San Francisco, CA ·Hybrid 10d ago
GoRustPythonApache FlinkPostgreSQLGrafanaReactTypeScriptReduxAWSAzureGCPDockerKubernetesTerraform

About the role

Sift is the data infrastructure platform for hardware engineering teams, turning high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build rockets, satellites, autonomous vehicles, energy systems, and defense platforms. Founded by former SpaceX engineers, Sift is building data infrastructure for the AI era. We seek a hands-on Software Engineering Manager to lead our Data Platform, developing core data pipelines for ingestion, storage, processing, qu

Requirements

7+ years in software engineering with 2+ years in people management. Bachelor's in CS, STEM, or related field. Strong experience with distributed systems and web apps using Go, Rust, or Python. Experience with in-stream processing (Apache Kafka, Flink, Beam). Familiarity with databases like PostgreSQL, Druid, Pinot, or Timescale. Expertise in data exploration tools like Grafana or Jupyter Notebooks. Proven ability to guide teams through ambiguity and be a force multiplier for engineering talent.

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.

View company page →

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Posted 10d 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 →