Sr. Systems Dev Engineer, AI & Strategic Partner Engineering

About the role

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-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.

Responsibilities

• 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; and setting the standards for engineering and operational excellence that your team adopts.
• Define the technical direction for your team's systems, own architectural decisions, and drive cross-team alignment, building resilient, partner-driven solutions alongside senior engineers and architects.
• Design, implement, deploy, and maintain innovative distributed system software that enhances service security, durability, availability, performance, and cost-efficiency for SAP workloads on AWS.
• Create and manage purpose-built AI agents that perform operational tasks: triaging alarms, diagnosing root causes, analyzing build pipelines, managing fleet health, and tracking fixes.
• Design, build, and harden AI-assisted systems and workflows, ensuring they run reliably in production, degrade gracefully under failure, and meet the resilience bar required for mission-critical SAP workloads.
• Design operational patterns that leverage AI for monitoring, incident response, and automation to improve system resilience and reduce complexity for other builders.
• Own full-stack delivery from design through production, emphasizing high availability, performance, fault tolerance, and customer delight. Build detailed technical specifications, lead architecture and operational reviews, and partner with cross-functional teams (Product, Security, AI Research) to influence roadmaps through data and credibility.
• Represent your team externally to partner service teams and leadership. All team members actively participate in product definition, architecture reviews, iterative development, code review, and operations.

Requirements

• 6+ years of non-internship professional software development experience
• 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor's degree
• 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
• Expertise in SAP Domain including SAP ABAP programming language skills, as well as knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
• Experience building with AI/ML technologies including large language models, generative AI, or agentic systems — with demonstrated ability to apply AI tools to operational tasks such as debugging, monitoring, or infrastructure management
• Experience leading the delivery of technology solutions across multiple teams, including decomposing complex problems into projects deliverable by others

Qualifications

• Deep knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies. Experience architecting solutions spanning multiple AWS service domains in a multi-tiered, distributed environment (Service Oriented Architecture)
• Experience with both SAP's agentic technologies (Joule, BTP AI Core, SAP AI Launchpad) and AWS AI services (Bedrock, Amazon Q, Step Functions)

Skills

• Strong understanding of distributed systems, cloud computing, and SAP systems
• Experience with AI/ML tools and techniques, particularly in operational contexts
• Excellent problem-solving and critical thinking skills
• Ability to communicate effectively with technical and non-technical stakeholders
• Self-starter mindset, rapid experimentation, and expertise in resilience engineering

Benefits

See details [here](https://amazon.jobs/en/benefits).

Pay

See details [here](https://amazon.jobs/content/en/how-we-hire/salary-ranges).

Schedule

See details [here](https://amazon.jobs/content/en/how-we-hire/schedules).