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Posted via Amazon Jobs

Senior Software Development Engineer, AWS Mantle

Posted Aug 3, 2026

Role at a glance

Salary
$168.1K – $227.4K/yr
Location
Seattle, Washington, United States
Work arrangement
On-site
Employment
Internship
Experience
5+ years of non-internship professional software development experience
Education
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience

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Role Summary

AI-generated

The AWS Mantle team is building a globally distributed inference engine that powers Amazon Bedrock and provides secure, enterprise-grade access to foundation models. The Sr. Software Development Engineer will set technical direction and design systems that support latency, reliability, scalability, security, and rapid model onboarding.

What You'll Do

  • Design and evolve Mantle's distributed inference engine, including capacity management, model onboarding pipelines, and...
  • Drive cross-organizational initiatives across AWS teams to deliver OpenAI-compatible API experiences with Zero Operator Access security...
  • Lead technical strategy for scaling inference to support rapid onboarding of new foundation models while maintaining global availability...
  • Own end-to-end system design decisions affecting latency, reliability, and scalability
  • Navigate trade-offs across performance, security, and cost while maintaining operational excellence
  • Raise the engineering bar through system design, mentorship, and contributions to the broader AWS engineering community

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • - 5+ years of non-internship professional software development experience
  • - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • - 5+ years of programming experience with at least one modern language such as Java, C++, Python, Go, or Rust

Preferred

  • 5+ 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
  • - Master's degree or equivalent in computer science, machine learning, engineering, or related fields, or PhD
  • - Experience building large-scale machine learning and AI solutions at Internet scale
  • - Familiarity with inference frameworks such as vLLM, TensorRT, or Triton Inference Server

Original job description

Content provided by the employer

Are you passionate about building the infrastructure that powers the next generation of AI? We are seeking a Sr. Software Development Engineer to join the AWS Mantle team and drive the technical vision for our distributed inference engine that serves millions of customers across Amazon Bedrock. In this role, you will define and execute on large-scale, ambiguous technical challenges at the intersection of machine learning systems, distributed computing, and security—shaping how the world accesses foundation models.

Set the long-term technical direction for a globally distributed, high-performance ML inference platform serving models from industry-leading AI providers

Own end-to-end system design decisions that directly impact latency, reliability, and scalability for millions of customers worldwide

Influence engineering strategy across Amazon Bedrock, partnering with senior leadership to align technical investments with business outcomes

Raise the engineering bar through exemplary system design, mentorship, and contributions to the broader AWS engineering community

Navigate complex trade-offs across performance, security, and cost while maintaining the highest standards for operational excellence

Key job responsibilities
As a Sr. SDE on the Mantle team, you will serve as the technical conscience and strategic thought leader for one of AWS's most critical AI infrastructure platforms. You will architect solutions that are reliable, scalable, and secure—operating at the cutting edge of distributed systems where millisecond-level latency and zero-trust security are non-negotiable.

Design and evolve the architecture of Mantle's distributed inference engine, including capacity management, model onboarding pipelines, and quality-of-service controls

Drive cross-organizational initiatives spanning multiple AWS teams to deliver seamless, OpenAI-compatible API experiences with Zero Operator Access (ZOA) security guarantees

Lead technical strategy for scaling inference to support rapid onboarding of new foundation models while maintaining global availability and performance SLAs

About the team
The AWS Mantle team is building the next-generation inference engine that powers Amazon Bedrock—providing secure, enterprise-grade access to high-performing foundation models from the world's leading AI companies. Our mission is to simplify and accelerate how models are served at global scale, with an unwavering commitment to customer trust through innovations like our Zero Operator Access architecture, designed so that no person—whether from AWS, a customer, or a model provider—can ever access customer inference data.

We operate at massive scale, serving inference requests across all major AWS regions with sophisticated automated capacity management and unified resource pools

Our team values builders who thrive in ambiguity, think long-term, and are excited to define the future of AI infrastructure from the ground up

We foster a collaborative, inclusive environment where diverse perspectives drive better solutions—and where the best ideas win regardless of where they originate

We ship fast and iterate with purpose, having rapidly expanded from launch to supporting models from OpenAI, DeepSeek, Google, Mistral, NVIDIA, and more

We believe work should be meaningful and fun—you'll join a team that takes pride in making history at the forefront of generative AI

Basic Qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- - 5+ years of non-internship professional software development experience
- - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- - 5+ years of programming experience with at least one modern language such as Java, C++, Python, Go, or Rust
- - Experience driving cross-organizational technical strategy and delivering results in complex, ambiguous environments where the business problem and technical approach are not pre-defined

Preferred Qualifications

- 5+ 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
- - Master's degree or equivalent in computer science, machine learning, engineering, or related fields, or PhD
- - Experience building large-scale machine learning and AI solutions at Internet scale
- - Familiarity with inference frameworks such as vLLM, TensorRT, or Triton Inference Server

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 - 168,100.00 - 227,400.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.