Amazon Development Center U.S., Inc.
Technology
Sr.SystemsDevEngineer,AI&StrategicPartnerEngineering
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“Sr. Systems Dev Engineer, AI & Strategic Partner Engineering at Amazon Development Center U.S., Inc.. Skills: AI agents, Distributed systems. Own team's systems end-to-end. Identify risks and limitations”
What You'll Achieve.
Ensure world-class resilience; Solve complex distributed system challenges; Handle operational tasks; Automate repetitive workflows; Enhance service security; Enhance service durability; Enhance service availability; Enhance service performance; Enhance service cost-efficiency; Meet needs of enterprise customers; Meet needs of SAP community; Perform operational tasks; Improve system resilience; Reduce complexity; Ensure high availability; Ensure fault tolerance; Ensure customer delight; Influence roadmaps; Ship faster and safer
Industry & Context.
Problem solving; Root cause analysis; Troubleshooting
Occasional travel
What They're Looking For.
Must Have
6+ years software development experience, 6+ years designing/architecting systems, Bachelor's degree, 5+ years programming experience, Expertise in SAP Domain, SAP ABAP programming skills, Knowledge of SAP systems architecture, Experience building with AI/ML technologies, Apply AI tools to operational tasks, Leading technology solution delivery
Nice to Have
Deep knowledge of AWS services, Architecting solutions spanning AWS domains, Experience with SAP agentic technologies, Experience with AWS AI services
What You'll Do.
Own team's systems end-to-end
Identify risks and limitations
Decompose complex problems
Set engineering standards
Set operational excellence standards
Define technical direction
Own architectural decisions
Drive cross-team alignment
Build resilient solutions
Build partner-driven solutions
Design distributed system software
Implement distributed system software
Deploy distributed system software
Maintain distributed system software
Enhance service security
Enhance service durability
Enhance service availability
Enhance service performance
Enhance service cost-efficiency
Design SAP integrations
Perform operational tasks
Analyze build pipelines
Debug distributed failures
Maintain infrastructure
Generate documentation
Design solutions bridging SAP and AWS
Build AI-assisted systems
Harden AI-assisted systems
Design AI-assisted workflows
Ensure reliable production operation
Ensure graceful degradation
Design operational patterns
Leverage AI for monitoring
Leverage AI for incident response
Leverage AI for automation
Improve system resilience
Reduce system complexity
Own full-stack delivery
Emphasize high availability
Emphasize performance
Emphasize fault tolerance
Emphasize customer delight
Build technical specifications
Lead architecture reviews
Lead operational reviews
Partner with cross-functional teams
Represent team externally
Participate in product definition
Participate in architecture reviews
Participate in iterative development
Participate in code review
Participate in operations
Identify partner pain points
Make architectural decisions
Build agents investigating production issues
Validate agents through testing
Iterate based on operational data
Troubleshoot distributed failures
How You'll Work.
Team & Collaboration
Cross-team alignment; Partner service teams; Cross-functional teams; Senior engineers and architects
Communication Scope
Professional communication
Process & Methodology
Decomposing complex problems
Full Job Description
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges. Within ASP, the AI & Strategic Partner Engineering team is seeking a Senior Systems Development Engineer to create solutions that drive the adoption of SAP workloads on AWS and ensure those workloads run with world-class resilience. You'll design, develop, and own back-end subsystems that solve complex distributed system challenges for SAP customers. You'll build and manage AI agents that handle operational tasks (debugging production issues, maintaining infrastructure, and automating repetitive workflows) so engineers can focus on high-judgment work. You'll also work on customer-facing APIs used by millions of applications worldwide. The ideal candidate has deep technical skills in SAP applications and cloud computing, is conversant in both SAP's agentic technologies (Joule, BTP AI Core) and AWS AI services (Bedrock, Amazon Q), and can apply these tools practically to solve real operational problems. Your SAP domain expertise (SAP BASIS, ABAP, and systems architecture knowledge) is essential to making a significant impact. This role demands a self-starter mindset, rapid experimentation, and expertise in resilience engineering, ideal for engineers who love learning, challenging norms, and building systems that enable other builders to ship faster and safer. Key job responsibilities You'll own your team's systems end-to-end: proactively identifying risks, limitations, and deficiencies; decomposing complex problems into straightforward projects others can deliver in parallel; a
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