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职位Amazon

Software Development Engineer, EC2 UltraServer Availability

Amazon

Software Development Engineer, EC2 UltraServer Availability

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

2w ago

The Software Development Engineer II will design, build, and maintain cloud-based repair and recovery workflows for NVIDIA GB200 / GB300 Ultra Servers, orchestrating repair and recovery operations from impairment detection through completed recovery. This role requires expertise in AWS services, system architecture, and cross-functional collaboration with Capacity Management, Hardware Engineering, and Datacenter Operations to manage AI/ML infrastructure.

Key job responsibilities
The Software Development Engineer (SDE II) on the EC2 Ultra Server Availability team is responsible for ensuring high availability of customer GB200 and GB300 Ultra Servers by orchestrating complex repair and recovery workflows. Following are the core responsibilities

System Design & Architecture:

  • Design and architect solutions that are cross-functional to Capacity Management, Hardware Engineering, and Datacenter Operations
  • Work in environments where the technology strategy is defined but the solution design is not
  • Build solutions that are stable, logical, testable, and efficient with the ability to independently make trade-off decisions
  • Investigate and develop design concepts to frame solution sets at an application and product level

Software Development

  • Build cloud-based solutions using AWS native services for scaling infrastructure frameworks
  • Write high-quality, maintainable code with proper testing and code reviews
  • Develop and maintain the repair and recovery workflows for GB200 and GB300 Ultra Server hosts
  • Implement automation for diagnostic triage, hardware testing, cable validation, and testing processes
  • Create observable systems with appropriate metrics and alarming

Operational Excellence

  • Execute and monitor Ultra Server workflows for Ultra Server repair
  • Troubleshoot workflow failures and coordinate with downstream teams
  • Focus on operational excellence by identifying problems and proposing solutions

Hardware & Software Integration:

  • Work with hardware and software integrations specific to GPU clusters and AI/ML training systems
  • Manage network partition configurations for multi-node GPU clusters
  • Handle firmware validation and consistency checks across asset groups

Team Collaboration

  • Collaborate with customers and stakeholders to convert business needs into technical designs
  • Participate in code reviews and technical assessments

A day in the life
This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement.

About the team
The EC2 Ultra Server Availability team is a high-performing engineering organization responsible for maintaining high availability of NVIDIA-based ML infrastructure at scale. We manage end-to-end repair and recovery workflows for GB200 and GB300 Ultra Servers, from initial problem detection through repair and recovery. Our team drives operational excellence through continuous improvement of problem detection, repair efficacy, and customer impact mitigation. We work closely with hardware engineering, data center operations, and EC2 service teams to ensure reliable, efficient recovery of critical ML compute capacity. This is a high-impact role leading a two-pizza team of talented engineers solving complex technical challenges in one of Amazon's fastest-growing infrastructure domains.

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
  • 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
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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, Seattle - 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

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

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

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge