System Development Engineer, Battery Test Systems, Amazon Leo

Amazon is hiring a System Development Engineer, Battery Test Systems, Amazon Leo . It pays $129k-$175k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, Linux and Windows.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted within the past two weeks.

AI in this role

Builds battery test data infrastructure and deploys machine learning models for Amazon Leo satellite network.

awslinuxwindowsgrafana

systems-engineeringdata-pipelinesmachine-learning

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

Batteries power that mission, and understanding how they perform, age, and fail depends on data. We are looking for a Systems Development Engineer to own the lab computing, networking, and data infrastructure that turns raw battery test data into fast, reliable, trustworthy insight for a growing battery team.

In this role you will own the systems that capture, move, and organize test data: keep networked test and lab PCs (Windows and Linux) patched and secure, and build, automate, and harden the pipelines that move data from local PCs to network storage to the cloud (AWS S3). You will normalize data from many tester types into a common schema, drive down manual data handling, and make the whole system more reliable, observable, and easy to operate. You will start by stabilizing and extending what exists, then take the systems in the directions that add the most value: bad-data detection and tagging, richer metadata and traceability, Grafana dashboards and metrics, and automation that removes toil.

Beyond the core infrastructure, you will build new capabilities on top of that data, including deploying and operating AI and machine-learning models over the databases to create new features for the team and our customers: turning large, messy datasets into predictions, summaries, and natural-language tools that let an engineer get to an answer quickly. As the lab and test fleet grow, you will specify the software, networking, and security requirements for new test systems and partner with vendors and internal security teams to bring them online reliably and compliantly. There is real room to broaden scope over time based on your strengths and the team's needs.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities
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.

Basic qualifications

- 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

Preferred qualifications

- 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond - 129,200.00 - 174,800.00 USD annually

How we rate this

System Development Engineer, Battery Test Systems, Amazon Leo at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

System Development Engineer, Battery Test Systems, Amazon Leo is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $129k-$175k a year.
The role is based in US, WA, Redmond.
The job was posted on October 12, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Systems EngineeringData PipelinesMachine learningAWSLinuxWindowsGrafana

Questions you could be asked

Tell me about a project where systems engineering was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
What's a project where you used AWS hands-on?
Walk me through how you've used Linux in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Systems Engineering, Data Pipelines, Machine learning, AWS, and Linux. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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