MAC Analytics & Automation Engineer (ML Diagnostics)

Amazon Inc.; Redmond (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

RSUs

Health benefits

Paid time off

Job summary

Amazon Kuiper Manufacturing Enterprises LLC seeks a MAC Automation & Analytics Engineer to own and build the MAC Analyzer and feature automation framework. You will interface with SDN/telemetry data, design self-improving analytical pipelines, and enable non-domain users to run MAC diagnostics across releases with minimal manual effort.

The role emphasizes translating MAC heuristics into automated workflows, delivering robust validation and telemetry-driven insights.

Qualifications

• 3+ years of professional software development experience
• 2+ years in design/architecture of large systems
• 1+ years in software development engineer or related role
• 1+ years designing multi-tier, distributed software
• 1+ years OO design experience
• Experience with one of the listed languages (C#, C++, Java, Perl)
• BS degree in CS/Engineering/Math or equivalent

Responsibilities

• Design and develop MAC Analyzer tool with ML-based anomaly detection
• Build self-improving analytical pipelines from raw telemetry data
• Create interfaces to make MAC diagnostics accessible to non-domain experts
• Design and maintain an automated test framework for MAC features
• Automate scenario-based testing for complex MAC configurations
• Build regression suites and collaborate with release teams

Skills

Software development

Data analysis

Test automation

Database querying

Machine learning

Cross-functional collaboration

Education

Bachelor's degree in CS or related field

Foreign degree equivalent accepted

Tools

C#

C++

Java

Perl

Job description

Amazon Kuiper Manufacturing Enterprises LLC seeks a MAC Automation & Analytics Engineer to own and build the MAC Analyzer and feature automation framework. You will interface with SDN/telemetry data, design self-improving analytical pipelines, and enable non-domain users to run MAC diagnostics across releases with minimal manual effort.

The role emphasizes translating MAC heuristics into automated workflows, delivering robust validation and telemetry-driven insights.