SDE: AI Agentic Systems — Distributed, Secure Cloud

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking software engineers and engineering managers to help build a new AI services family for Agentic AI. The role spans compute, databases, networking, identity, and ML collaboration, with a focus on secure, scalable, 24x7 software at world-class scale and customer obsession.

The team is strategic with visibility at AWS leadership and offers opportunities to launch services from ground up, learn state-of-the-art ML, and collaborate with product, engineering, and

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design/architecture experience for large systems.
• 1+ years of experience with building large-scale distributed software.

Responsibilities

• Design and build highly available control plane APIs and data plane services for production AI agents.
• Ensure secure, isolated execution with orchestration, memory, identity, and observability features.
• Improve latency, scalability, and cost controls across multi-tenant workloads.
• Simplify developer experience across APIs, SDKs, CLI, and infrastructure as code.
• Work with customers to reduce friction and accelerate production deployment.

Skills

Software development

Distributed systems

Programming languages

Object Oriented Design

Education

Bachelor's degree in CS/Engineering

Job description

Amazon.com Services LLC is seeking software engineers and engineering managers to help build a new AI services family for Agentic AI. The role spans compute, databases, networking, identity, and ML collaboration, with a focus on secure, scalable, 24x7 software at world-class scale and customer obsession.

The team is strategic with visibility at AWS leadership and offers opportunities to launch services from ground up, learn state-of-the-art ML, and collaborate with product, engineering, and