Senior Software Development Engineer, AWS Mantle

Amazon; New York (NY); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Software Development Engineer for the AWS Mantle team in Seattle. You will shape the technical vision for a high-performance distributed inference engine powering Bedrock, targeting millisecond latency, zero-trust security, and scalable global availability.

You will collaborate with senior leadership to align investments, own end-to-end design decisions, and mentor engineers as Mantle scales to onboard new foundation models.

Qualifications

• 5+ years of professional software development experience.
• 5+ years of programming experience in at least one modern language (Java, C++, Python, Go, or Rust).
• Experience leading design or architecture of systems (patterns, reliability, scaling).
• Experience mentoring, tech lead, or engineering leadership.
• Experience delivering cross-organizational strategy in ambiguous environments.

Responsibilities

• Define and execute on the technical vision for Mantle's distributed inference engine.
• Architect scalable, secure, low-latency solutions for global customers.
• Drive cross-team initiatives to deliver OpenAI-compatible API experiences with strong security guarantees.
• Lead strategy for scaling inference to support onboarding of foundation models.
• Mentor engineers and raise the engineering bar across the team.

Skills

Software development

Java

C++

Python

Go

Rust

Distributed systems

Mentorship

Security

Cross-team collaboration

Education

Bachelor's degree in Computer Science/Engineering or related field

Master's degree or PhD in CS/ML/Engineering

Tools

vLLM

TensorRT

Triton Inference Server

Job description

Senior Software Development Engineer, AWS Mantle

Job ID: 10489920 | Amazon.com Services LLC

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

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

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