Software Dev Engineer II, NASC Tech

Amazon is hiring a Software Dev Engineer II, NASC Tech in Bellevue, 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.
The posting mentions Bedrock, SageMaker and AI agents among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

bedrocksagemaker

ai-agentsai-automation

What if you could build intelligent systems that shape how millions of packages move through Amazon's transportation network every day?

North American Sort Centers (NASC) are a critical part of Amazon's Middle Mile transportation network, connecting fulfillment centers with the last-mile delivery network. NASC Tech is building the next generation of AI-powered planning and execution platforms that drive labor, capacity, and network connectivity decisions across hundreds of Sort Centers. We are looking for an experienced Software Development Engineer to help shape the technical direction of platforms that connect long-term strategic planning, mid-term optimization, and short-term operational execution into a unified ecosystem. Our vision is to move beyond disconnected planning tools and manual decision-making toward intelligent, event-driven systems where changes in network demand, capacity, or labor requirements can automatically trigger downstream model execution, planning adjustments, and operational actions. This is an opportunity to work at the intersection of distributed systems, Applied Science, and Agentic AI. You will design scalable model orchestration platforms, integrate ML models into production workflows, and build agentic systems that leverage LLMs, MCP, and tool-based integrations to connect data, and operational systems. As an SDE II in this team, you will own complex technical problems end-to-end, influence architecture and engineering decisions, and partner closely with Product, Applied Science, Data Engineering, and Operations teams across Amazon. If you enjoy building new systems, solving challenging engineering problems at scale, and turning emerging AI capabilities into practical solutions with measurable business impact, this role offers an opportunity to help define the future of Middle Mile planning technology.

Key job responsibilities
The position focuses on building scalable planning and execution platforms across multiple planning horizons within Sort cneters. You will partner closely with Product, Science, Site Operations, and cross-organizational teams including AFT and Sort Tech to develop intelligent systems that connects planning systems and operational execution. This includes building agentic systems, model orchestration frameworks, and AI-powered automation to streamline complex workflows and enable data-driven decision-making.

In addition, you will:

- Design and build scalable distributed systems and full-stack applications that solve complex operational challenges at Amazon scale.
- Architect and develop intelligent automation solutions that integrate AI capabilities, science models, and enterprise systems.
- Build reliable platforms for executing, orchestrating, and monitoring ML and optimization models in production.
- Lead end-to-end technical design and delivery, translating broadly defined business problems into scalable, extensible solutions.
- Collaborate with cross-functional engineering teams to influence architectural decisions and drive innovation.
- Drive engineering best practices, ensuring high standards for software quality, scalability, reliability, and operational excellence.
- Mentor engineers through design reviews, code reviews, and knowledge sharing while contributing to the team's technical direction.
- Work in an agile environment to deliver high-quality software with strong end-to-end ownership.

A day in the life
As an engineer on our team, your day could involve designing an event-driven workflow that automatically re-evaluates labor and capacity plans when network demand changes, building agents that connects planning data with ML models to generate actionable recommendations, or scaling distributed orchestration platforms that executes hundreds of optimization and simulation workflows across the Sort Center network. You will work closely with Scientists to host new models, collaborate with Product and Operations teams to understand real-world planning challenges, and partner with engineers across Amazon to integrate systems that have traditionally operated independently. Some days will focus on architecture and technical design, while others will involve hands-on development, experimentation with emerging AI technologies, reviewing code, or improving the reliability and performance of production systems. You will have the autonomy to influence technical decisions, take ownership of meaningful projects, and see your work translate directly into operational improvements across Amazon's Middle Mile network. Our environment encourages engineers to experiment, challenge existing approaches, and build solutions that balance innovation with operational excellence.

About the team
Out team builds and operates platforms that power planning and operational decision-making across Amazon's Sort Center network. This charter spans long-term strategic planning, mid-term optimization, and short-term execution, connecting science-driven recommendations with systems that turn plans into operational actions. The engineering ecosystem includes full-stack applications, distributed model execution platforms, data processing pipelines, and decision automation services, built on AWS technologies including ECS, AWS Batch, SageMaker, Lambda, Step Functions, Aurora DB and DynamoDB. We are evolving these platforms into an intelligent, connected ecosystem through event-driven orchestration and agentic systems. Our teams collaborate to integrate AI agents, APIs, knowledge bases, and data tools on a shared AI infrastructure backbone, enabling intelligent automation, actionable insights, and seamless workflows across organizational boundaries. With a rapidly expanding charter spanning planning, execution, and AI-powered automation, this is an opportunity to build new capabilities from the ground up, shape foundational architectures, and influence how Amazon's Middle Mile operates at scale.

Basic qualifications

- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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
- Experience programming with at least one software programming language
- Experience with version control systems and CI/CD pipeline implementation

Preferred qualifications

- Master's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with AWS Services (S3, EC2, Lambda, ECS Fargate, Dynamo DB, RDS, API Gateway, CloudWatch, SNS, SQS, Amazon Bedrock, Knowledge Bases etc.)

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, Bellevue - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Dev Engineer II, NASC Tech at Amazon rates 86 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.

Classification

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.

Key facts

Software Dev Engineer II, NASC Tech is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Bellevue.
The job was posted on November 2, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI AutomationBedrockSageMaker

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a workflow you automated with AI tools, end to end.
What are the limits of Bedrock that you've run into, and how did you work around them?
What's a project where you used SageMaker hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: AI agents, AI Automation, Bedrock, and SageMaker. 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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