AmazonSoftware Development Engineer, EC2 UltraServer Delivery Team
Amazon is hiring a Software Development Engineer, EC2 UltraServer Delivery Team in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include AWS, Python and Linux.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design and build cloud-based provisioning workflows and infrastructure management for NVIDIA AI/ML server clusters.
Key job responsibilities
The Software Development Engineer (SDE II) on the EC2 UltraServer Delivery team is responsible for delivering production-ready GB200 and GB300 UltraServers to customers by orchestrating complex multi-asset provisioning workflows. Following are the core responsibilities
System Design & Architecture
* Design and architect solutions that are cross-functional to Manufacturing, Operations, and Program Management
* 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 Multi-Asset Provisioning Service workflows for GB200 and GB300 UltraServer hosts
* Implement automation for hardware testing, cable validation, and testing processes
* Create observable systems with appropriate metrics and alarming
Operational Excellence
* Execute and monitor UltraServer workflows for UltraServer provisioning
* Troubleshoot workflow failures and coordinate with downstream teams
* Focus on operational excellence by identifying problems and proposing solutions that improve manufacturing software
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 UltraServer Provisioning team is a high-performing engineering organization responsible for delivering NVIDIA-based ML infrastructure at scale. We manage end-to-end provisioning workflows for GB200 and GB300 UltraServers, from host ingestion through testing, repair, and recovery. Our team drives operational excellence through continuous improvement of build quality metrics, reduction of dwell times, and collaboration on fleet-wide unsellable reduction initiatives. We work closely with hardware engineering, data center operations, and EC2 service teams to ensure reliable, efficient delivery 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
How we rate this
Software Development Engineer, EC2 UltraServer Delivery Team at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $144k
- Typical software engineer job
- $167k
This posting starts 14% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- What's a project where you used AWS hands-on?
- Walk me through how you've used Python in your day-to-day work.
- What are the limits of Linux that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AWS, Python, 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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