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# System Development Engineer, Battery Test Systems, Amazon Leo

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Salary:** $129,200.0 - $174,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), PHP (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Databases, Computer Engineering, Data Visualization, Linux, DevOps, Amazon DynamoDB, Perl (Programming Language), Python (Programming Language), Machine Learning, Systems Development Life Cycle, Ruby, Software Engineering, Data Streaming, Test Data, Scripting, Network Storage, Grafana, Software Troubleshooting, Information Technology, Functional Programming, Amazon Simple Queue Service (SQS), Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d50a37c6aad56d88

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience
 * Experience in systems administration (Linux/Windows)
 * Experience with automation or working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent
 * Experience including, building and maintaining data flows and pipelines
 * Experience troubleshooting and debugging technical systems, * Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
 * Experience in hands-on infrastructure, troubleshooting, systems administration, networking, DevOps or applications development
 * Experience deploying and operating AI or machine-learning models in production, or integrating them into data or user-facing applications (e.g., prediction, anomaly detection, or natural-language querying).
 * Experience with Grafana or other monitoring, BI, and visualization tools.
 * Experience with networked PC administration and patching in a lab or industrial setting.
 * Experience working with manufacturing test equipment and tester data.

## Description

Administer and patch networked test-floor and lab PCs (Windows and Linux) to meet evolving security requirements; automate configuration and keep systems current.
Build, automate, operate, and harden data pipelines that move test data from local test PCs to network storage to the cloud (AWS S3), with reliability and observability as first-class goals.
Maintain and extend data-homogenization code that normalizes test data from multiple tester types and formats into a common schema for shared tooling.
Improve detection, cleaning, tagging, and labeling of bad or incomplete data; incorporate metadata into the database for traceability across test types.
Build and operate summary-metric scripts, Grafana dashboards, and monitoring/alerting for production and test data systems.
Deploy and operate AI and machine-learning models on top of the databases to create new features for the team and customers, such as predictive insights, automated data-quality checks, and natural-language querying and visualization.
Build and extend implementation-level tools and small applications that make test data easier for engineers to reach and use.
Specify software, networking, and security requirements for new test equipment, and partner with vendors and internal security teams to bring new systems online reliably and compliantly.
Diagnose and resolve performance, reliability, and availability issues across hardware, software, and operating environments, leaving systems better than you found them.

A day in the life
You might start the morning confirming overnight test data landed cleanly in S3 and triaging a pipeline alert, then pair with a cell test engineer to fold a new tester's output into the common schema. In the afternoon you could automate a manual data-handling step, tune a Grafana dashboard and its alerts, prototype a model that flags suspect data before it reaches the database, and scope the network and security requirements for a tester arriving next month. The mix shifts with the team's priorities, and you decide where your time creates the most leverage.

About the team
We are the battery team behind Amazon Leo's power systems. We design, build, and test the cells and packs that keep satellites running, and we rely on a fast-growing body of test data to understand how they perform. This role owns the computing, networking, and data backbone the whole team depends on, and works closely with cell test, build, and design engineers to keep the systems reliable and remove the barriers between people and answers.