AmazonSoftware Dev Engineer - II, AWS EC2 Ultraservers
Amazon is hiring a Software Dev Engineer - II, AWS EC2 Ultraservers 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 role: the job is building AI systems.
- Tools and skills the posting cites include AWS, Trainium and Ultraservers.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Designs and maintains cloud-based repair and recovery workflows for Trainium UltraServers supporting large-scale AI/ML workloads.
Key job responsibilities
- Design and develop innovative technologies that power the infrastructure supporting AI workloads on Ultraservers
- Lead technical projects establishing EC2 as the pioneer in cloud computing for AI/ML workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures.
- Collaborate with various teams to influence architecture of provisioning systems and improve to operate at scale and efficiently.
- Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels.
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 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 Trainium UltraServers, 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
- 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
- 1+ years of full stack development experience
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 Dev Engineer - II, AWS EC2 Ultraservers at Amazon rates 80 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
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where system architecture was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Development, System Architecture, Cloud Computing, AI Infrastructure, and AWS. 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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