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# Full Stack Software Engineer, Observability (Starlink)

- **Company:** Space Exploration Technologies Corp.
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $175,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Relational Databases, Distributed Data Store, Fault Tolerance, Python (Programming Language), PostgreSQL, Network Monitoring, Software Construction, Software Engineering, Data Streaming, ReactJS, Backend, AngularJS, Material UI, Front End Software Development, Stream Analytics, Data Pipelines, Docker, Golang
- **Published:** July 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=17203f2cf17566b7

## About the Role

* Bachelors degree in STEM & 1+ year of industry and/or internship experience; OR 3+ years of professional software development experience in lieu of a STEM degree., * Experience building or operating large-scale observability, telemetry, or real-time analytics systems.
 * Strong backend experience with Python, Go, Java, or similar languages.
 * Frontend experience with React, Angular, or a comparable JavaScript framework.
 * Experience with relational databases (PostgreSQL, CockroachDB, etc.) and/or distributed data systems.
 * Experience with Docker and Kubernetes in production environments.
 * Familiarity with streaming data platforms or high-volume data pipelines
 * Demonstrated ability to own projects end-to-end and deliver reliable, high-quality software

ADDITIONAL REQUIREMENTS:

 * Ability to work extended hours or weekends as needed for mission critical deadlines
 * Ability to work on an "on-call" basis on a weeklong rotational schedule

## Description

* Design and implement scalable, fault-tolerant data ingestion pipelines to reliably consume raw, high-volume telemetry streams from Starlink satellites, user terminals, gateways, and ground infrastructure in real time
 * Develop frontend visualizations, interactive dashboards, and UI components that present processed data in clear, real-time views for monitoring teams and stakeholders
 * Drive automation to reduce manual effort in network monitoring operations and improve anomaly detection accuracy
 * Maintain high software standards and software engineering best practices across the full stack
 * Deep dive into business problems, find efficient solutions and apply first principles thinking


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