MAC Automation & Analytics Engineer

Amazon Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$143,700–$194,400 / yr
Posted
78 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $169k
$135k most similar roles pay here $222k

This role pays less than 59% of similar roles. Most pay $161,125–$214,000 — the shaded band above. At the midpoint, this role pays about $169k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 457 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 447 roles with salary data.

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At a glance

TL;DR · MAC Automation & Analytics Engineer

MAC Automation & Analytics Engineer, Leo MAC will join the team to build and own the MAC Analyzer and a feature automation framework. This role sits at the intersection of automation, data analytics, and MAC domain expertise to democratize diagnostics and ensure robust automated validation across releases. The engineer will develop an analyzer tool using ML-based anomaly detection and predictive capabilities to process SDN and telemetry databases, creating self-improving pipelines for triage and root cause analysis. Additionally, they will build a test framework covering features like QoS, scheduling, grant handling, multicast, and traffic shaping. Key technical requirements include proficiency in C#, C++, Java, or Perl, experience with machine learning frameworks, and skills in data processing at scale. The role addresses the challenge of automating complex MAC configurations and ensuring consistent validation within the release qualification loop.

What you'll do

  • Develop the MAC Analyzer tool using ML-based anomaly detection and predictive capabilities to identify system issues.
  • Build automated pipelines to perform triage, root cause analysis, and reporting from raw telemetry data.
  • Create intuitive interfaces that allow non-experts to perform complex MAC-level diagnostics.
  • Design and maintain an automated test framework for features like QoS, scheduling, and traffic shaping.
  • Automate scenario-based testing for complex configurations using traffic generation tools to replicate field conditions.
  • Build regression suites with comprehensive coverage metrics integrated into the release testing pipeline.
  • Translate complex engineering heuristics into automated algorithmic workflows and software tools.

What we're looking for

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
  • 3+ years of non-internship professional software development experience.
  • 2+ years of experience in the design or architecture of new and existing systems.
  • 1+ years of experience developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software using C#, C++, Java, or Perl.
  • 1+ years of Object Oriented Design experience.
  • Experience with machine learning frameworks, data processing at scale, and building test automation pipelines.
  • Ability to translate complex engineering heuristics into algorithmic workflows and develop tools for cross-functional teams.
  • Must be a U.S. citizen, national, permanent resident, or lawfully admitted as a refugee or granted asylum per export control laws.

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