Senior Software Engineer, AWS Commercial Application Services

Amazon • Santa Clara, CA

20h

About The Position

Imagine building the cloud infrastructure that powers the world’s most critical enterprise applications. As part of AWS Commercial Application Services within EC2, you’ll design and scale mission-critical services that enable customers to run massive SAP workloads with unmatched reliability, performance, and security. This role focuses on creating deep integrations between industry-leading AWS ecosystems SAP platforms while leveraging AI-driven innovations to redefine operational efficiency at cloud scale. You’ll push the boundaries of what’s possible, delivering solutions that empower enterprises to transform their businesses and lead the future of cloud computing.
Join a pioneering team where we harness Agentic AI and autonomous systems to transform enterprise cloud computing. Here, you’ll collaborate with innovators who thrive on experimentation, pushing the boundaries of scaling, intelligent automation, and SAP modernization. We prioritize continuous AI upskilling through structured training, peer-led workshops, and hands-on R&D—empowering you to shape the future of cloud infrastructure with secure and scalable solutions. Diversity of thought fuels our progress, and we foster a culture where every idea—big or small—drives meaningful impact.
AWS is committed to innovation through diversity, welcoming talent from all backgrounds, career stages, and perspectives. Whether you’re a professional transitioning into cloud computing, or an expert redefining SAP ecosystems with AI, we encourage you to apply. Your passion for experimenting with generative and agentic AI, autonomous systems, or intelligent automation could shape the future of enterprise cloud infrastructure. At AWS, every unique voice fuels our mission to build smarter, more scalable solutions.
Amazon Web Services is the world’s most comprehensive and trusted cloud platform, pioneering Agentic and Generative AI to empower startups and Global 500 enterprises to reimagine their future. We deliver innovations combined with reliability, security and scalability. By fostering a culture of experimentation and embracing diverse perspectives, AWS transforms evolving customer needs into industry leading solutions that redefine industries.
AWS fosters a collaborative, inclusive culture where innovation thrives through diverse perspectives. We celebrate differences in thought, background, and identity via employee-led affinity groups, learning initiatives, and events such as AmazeCon. This diversity fuels our ability to build solutions that empower every engineer—regardless of experience—to contribute bold ideas shaping the future of cloud infrastructure and modernization.
We prioritize flexibility to help you excel professionally while maintaining personal well-being—critical for sustained innovation. AWS supports work-life harmony through adaptable schedules, robust wellness resources, and a culture that respects boundaries. Whether you’re experimenting with autonomous systems or optimizing enterprise workloads, our environment ensures you thrive in both projects and personal life.
AWS invests in your growth as an AI-first engineer through structured mentorship, Agentic and Generative AI training, and peer-led workshops. You’ll lead high-impact projects in cloud infrastructure, SAP modernization, and intelligent automation, while accessing continuous skill-building programs. Our focus on experimentation and innovation ensures you evolve into a well-rounded expert, driving transformative solutions that redefine enterprise cloud computing.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Nice To Haves

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• 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

Responsibilities

• create new capabilities leveraging Agentic and Generative AI that provide enhanced experience for our customers
• influence product strategy
• define system architecture and technical roadmaps
• spearhead best practices
• be a leader in the design and delivery of new products that'll shape the future of the cloud
• actively participate in product definition, technical architecture reviews, iterative development, code review, and operations
• interact with customers to understand and ensure their needs are met through AI-driven solutions
• inventing the foundation for the next phase of the products and beyond using Agentic and Generative AI frameworks

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level