Senior Software Development Engineer , AWS Commercial Application Services

Amazon • Santa Clara, CA

20h

About The Position

AWS Commercial Application Services (EC2)
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.
About the Team
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.
Diverse Experiences
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.
About AWS
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.

Inclusive Culture
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.

Work/Life Balance
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.

Mentorship & Career Growth
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 programming with at least one software programming language experience
• 5+ years of non-internship professional software development 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 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
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

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

• As a senior SDE, you'll work alongside leading builders, principal engineers, and business leaders to 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 and be a leader in the design and delivery of new products that'll shape the future of the cloud.
• All team members actively participate in product definition, technical architecture reviews, iterative development, code review, and operations.
• Along with this, you’ll have the opportunity to interact with customers to understand and ensure their needs are met through AI-driven solutions.
• Clear, professional, verbal and written communication with teammates and customers is an important part of the job.
• You will be inventing the foundation for the next phase of the products and beyond using Agentic and Generative AI frameworks.
• Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and hands-on experience with AI/ML systems—paired with practical experience building large-scale distributed systems.
• You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high-quality software that integrates AI capabilities and delights customers.

Benefits

• Amazon package will include sign-on payments and restricted stock units (RSUs).
• 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.

What This Job Offers

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