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SW Automation and Framework Engineer, Amazon Leo

职能工程
级别中级
地点Redmond, WA, United States
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

Linux

Amazon LEO is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.

Come work at Amazon!

The Role:

Be part of the team defining the system level architecture of Amazon LEO's broadband wireless system from customer end points to terrestrial gateways via Low Earth Orbit satellites. This is a unique opportunity to define a groundbreaking wireless solution with few legacy constraints. The team analyzes customer requirements for overall throughput / availability of the network, assignment of resources to each customer area, coordination of spectrum with regulators and other users of the spectrum, and optimization of link budgets and system trade-offs

In this role you will:

  • Develop, automate, and maintain RF validation and system test cases using Python within Linux-based test environments.
  • Implement automation for new RF functional, performance, and regression tests based on validation plans and engineering requirements.
  • Maintain and expand existing automated test suites to ensure continuous coverage as new features and firmware are introduced.
  • Execute automated RF test campaigns across lab testbeds and deployed validation environments, ensuring repeatable and reliable results.
  • Analyze test outcomes, logs, and telemetry to identify failures, isolate issues, and support debugging with RF and systems teams.
  • Develop Python scripts to configure devices, orchestrate test scenarios, and control test infrastructure required for RF validation.
  • Automate workflows for test setup, configuration, execution, log collection, and results processing across multiple Linux-based systems.
  • Validate RF system performance through automated checks of throughput, link behavior, interference conditions, and stability metrics.
  • Troubleshoot issues using Linux tools, packet captures, system logs, and RF instrumentation outputs.
  • Continuously improve automation reliability through better error handling, logging, and reproducible test execution.
  • Maintain automated test libraries, ensuring test cases remain accurate as system behavior and requirements evolve.
  • Work closely with RF, networking, and systems engineers to translate validation requirements into automated test implementations.
  • Support large-scale validation by running scheduled and on-demand automated test executions across multiple test platforms.
  • Document automated test cases, execution procedures, and troubleshooting steps to ensure long-term maintainability and team adoption.

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.

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

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 - 143,700.00 - 194,400.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge