Sr. Systems Dev Engineer, AI & Strategic Partner Engineering

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

ABAP Programming Language, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, C++ Programming Language, Channel Strategies, Cloud Applications, Cloud Computing, Code Reviews, Communication Skills, Computer Services, Consulting, Cross-Functional, Debugging Skills, Debugging Tools, Design Patterns Programming Methodologies, Distributed Computing, Documentation, Ecosystems, Fleet Management, Go Programming Language (Golang), High Availability, Identify Issues, Incident Response, Java, Leadership, Machine Learning, Market Entry Strategy, Mentoring, Microsoft Active Server Page (ASP), Microsoft C# (C Sharp), Modeling Languages, Network Security, Operational Audit, Problem Solving Skills, Python Programming/Scripting Language, Recruiting Strategy, Risk Analysis, Root Cause Analysis, Ruby, SAP, SAP BusinessObjects, SAP NetWeaver Business Warehouse, SAP Web Application Server (AS), Sales Pipeline, Service-Oriented Architecture (fka Distributed Object Architecture), Software Development, Startup, System Architecture, Systems Engineering, Systems Maintenance, Team Player, Technical Delivery, Testing, Willing to Travel, Windows PowerShell

LOCATION

Seattle, WA

POSTED

2 days ago

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; and setting the standards for engineering and operational excellence that your team adopts. You'll 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. You'll design, implement, deploy, and maintain innovative distributed system software that enhances service security, durability, availability, performance, and cost-efficiency for SAP workloads on AWS. Your SAP domain expertise, including SAP BASIS, ABAP, and knowledge of SAP systems architecture, is essential to designing integrations that meet the needs of enterprise customers and the SAP community. You'll 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. You'll use AI tools daily to debug complex distributed failures, build and maintain infrastructure, and generate documentation, treating AI as a force multiplier for systems engineering work. You'll be conversant in SAP's agentic ecosystem (Joule, BTP AI Core, SAP AI Launchpad) and AWS AI services (Bedrock, Amazon Q, Step Functions) to design solutions that bridge both platforms. You'll 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. You'll design operational patterns that leverage AI for monitoring, incident response, and automation to improve system resilience and reduce complexity for other builders. You'll own full-stack delivery from design through production, emphasizing high availability, performance, fault tolerance, and customer delight. You'll 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. You 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. Clear, professional communication with teammates, customers, and partners is essential. A day in the life You'll identify partner pain points and make architectural decisions that blend resilience, scalability, security, and innovation. You'll build agents that investigate production issues end-to-end, validate them through testing, and iterate based on real operational data. You'll lead design reviews, troubleshoot complex distributed failures across system boundaries using AI-assisted diagnostics, and document decisions to empower future teams. When you recognize that the most appropriate solution requires expertise you lack, you own the problem but partner with experts to ensure the correct solution is built. Occasional travel may be required based on engineering work requirements with partners. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications - 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 Preferred 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) 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, Seattle - 151,200.00 - 204,600.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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