Senior Software Development Engineer, AWS Mantle

Socket.dev; Seattle (WA); On-site; USD 168,100 - 227,400; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is looking for a Senior Software Development Engineer in Seattle, WA to design and scale the distributed inference engine powering Amazon Bedrock. In this role, you will deliver critical systems that enable customers to access AI models securely and reliably.

The ideal candidate will have over 5 years of software development experience, strong knowledge in distributed systems, and experience mentoring engineers. Benefits include competitive salary and comprehensive health coverage.

Qualifications

• 5+ years of software development experience.
• Experience leading design or architecture of new systems.
• Mentor and lead engineering teams.

Responsibilities

• Design and deliver distributed systems for ML inference.
• Own delivery of complex features from design to production.
• Drive operational excellence by owning production services.

Skills

Software development

Distributed systems

Machine learning

Mentorship

Education

Bachelor’s degree in Computer Science or related field

Tools

APIs design

Data mining tools

Job description

Description

We're looking for an experienced Senior Software Development Engineer to help build and scale the distributed inference engine that powers Amazon Bedrock. As part of the AWS Mantle team, you will design and deliver critical systems that enable millions of customers to access the world’s leading foundation models—securely, reliably, and at global scale. This is an opportunity to work on one of the most impactful AI infrastructure platforms at AWS, where your code and design decisions will directly shape how generative AI is served to enterprises worldwide.

Design, build, and operate high-performance distributed systems that serve ML inference at massive scale across all AWS regions.

Own the end-to-end delivery of complex features—from requirements through design, implementation, testing, deployment, and production operations.

Collaborate with cross-functional teams to solve challenging problems in capacity management, model serving, and API compatibility.

Contribute to a culture of engineering excellence by writing clean, maintainable code and driving continuous improvement in system reliability.

Influence technical direction within your team while contributing to broader architectural discussions across Mantle and Amazon Bedrock.

Key job responsibilities

As a Senior SDE on the Mantle team, you will be a hands-on technical leader who owns significant components of our inference platform. You will balance deep technical execution with thoughtful design, delivering solutions that are scalable, secure, and operationally excellent—while mentoring teammates and raising the bar for the team.

Design and implement core components of Mantle's distributed inference engine, including request routing, load balancing, model lifecycle management, and quality-of-service enforcement.

Build and operate services that onboard new foundation models rapidly while maintaining strict performance SLAs and Zero Operator Access (ZOA) security guarantees.

Drive operational excellence by owning your team's services in production—monitoring, alarming, incident response, and continuous reliability improvement.

Partner with applied scientists, ML engineers, and partner teams to integrate new model architectures and optimize inference performance across GPU/accelerator fleet.

Mentor junior and mid-level engineers through code reviews, design reviews, and hands‑on guidance that elevates the team’s technical capabilities.

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
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience

Preferred Qualifications

• Master’s degree in computer science, machine learning, engineering, or related fields
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• Experience designing APIs at scale, particularly RESTful or streaming APIs with strict latency and availability requirements

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