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Sr. Systems Dev Engineer, AI & Strategic Partner Engineering; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, AWS
Salary/Wage Range or Industry Benchmark: 151200 - 204600 USD Yearly USD 151200.00 204600.00 YEAR
Job Description & How to Apply Below
Position: Sr. Systems Dev Engineer, AI & Strategic Partner Engineering (AWS)

Amazon Development Center U.S., Inc. is looking for a Senior Systems Development Engineer to join our AI & Strategic Partner Engineering team within the AWS Specialist and Partner Organization. You will design, develop, and own back‑end subsystems that enable SAP workloads on AWS, create AI agents that automate operational tasks, and build customer‑facing APIs that serve millions of applications worldwide.

Key Responsibilities
  • Own your team's systems end‑to‑end: identify risks, decompose complex problems, set engineering standards, and drive cross‑team alignment.
  • Design, implement, deploy, and maintain distributed system software that improves service security, durability, availability, performance, and cost‑efficiency for SAP workloads.
  • Create and manage purpose‑built AI agents that triage alarms, diagnose root causes, analyze build pipelines, and monitor fleet health.
  • Ensure AI‑assisted systems run reliably in production, degrade gracefully under failure, and meet the resilience bar required for mission‑critical SAP workloads.
  • Own full‑stack delivery from design through production, lead architecture and operational reviews, and influence roadmaps with data and credibility.
  • Communicate clearly with teammates, customers, and partners; represent the team externally to service teams and leadership.
  • Collaborate with product, security, and AI research teams; contribute to architecture reviews and iterative development.
  • Partner with experts when required expertise is beyond your own; own problems and bring the right solution to the table.
  • Travel as needed to partner sites.
A Day in the Life

You will identify partner pain points and make architectural decisions that blend resilience, scalability, security, and innovation. You will build agents to investigate production issues end‑to‑end, validate them through testing, and iterate based on real operational data. You will lead design reviews, troubleshoot failed distributed failures with AI‑assisted diagnostics, and document decisions to empower future teams.

About the Team

Our team supports both new and experienced engineers, encouraging knowledge sharing and mentorship. Senior members provide one‑on‑one mentorship and thorough, kind code reviews. We empower career growth and assign projects that build engineering expertise.

Diverse Experiences

AWS values diverse experiences. If you don’t meet all the preferred qualifications but bring alternative or early career experience, we encourage you to apply.

Why AWS?

Amazon Web Services is the most comprehensive and widely adopted cloud platform. Our focus on continuous innovation and a customer‑centric approach drives solutions for startups to Global 500 companies.

Inclusive Team Culture

Our affinity groups promote inclusion, and our inclusion events strengthen collaboration. Innovation is fueled by diverse perspectives and passionate voices.

Mentorship & Career Growth

We prioritize raising the performance bar and providing knowledge‑sharing, mentorship, and career‑advancing resources to help you grow into a well‑rounded professional.

Work/Life Balance

We value work‑life harmony and strive for flexibility in the workplace and at home.

Basic Qualifications
  • 6+ years of non‑internship professional software development experience.
  • 6+ years of designing or architecting new and existing systems (design patterns, reliability, scalability).
  • Bachelor’s degree.
  • 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, Power Shell, or Ruby.
  • Expertise in SAP domain, including ABAP programming and SAP system architecture.
  • Experience building with AI/ML technologies, including large language models or agentic systems; ability to apply AI tools to operational tasks.
  • Experience leading technology solutions across multiple teams and breaking complex problems into deliverable projects.
Preferred Qualifications
  • Deep knowledge of AWS services (compute, storage, networking, security, databases, machine learning, serverless). Experience architecting solutions across multiple AWS domains.
  • Experience with SAP’s agentic technologies (Joule, BTP AI Core, SAP AI Launchpad) and AWS AI services (Bedrock, Amazon Q, Step…
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