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.
If you're passionate about designing, developing, and delivering diverse solutions for AWS customers and partners that truly make a difference in their business, learning and mastering challenging engineering domains, and shaping the future of AI-driven cloud services, then we have an exciting opportunity for you. This role demands a self-starter mindset, rapid experimentation, and expertise in partner ecosystems - ideal for engineers who love learning, challenging norms, and building prototypes that ship.
A wave of innovation is revolutionizing partner ecosystems through AI-driven automation, secure multi-cloud architectures, and elastic scalability - reshaping how global enterprises deploy and use mission-critical cloud solutions. We are seeking a Software Development Engineer to build new capabilities and solutions, to help customers and partners, run their workloads (like SAP) on AWS. The AI & Strategic Partner Engineering team architects and builds deep integrations with partners and customers leveraging these partner solutions on AWS platforms, creating seamless interoperability that accelerates time-to-market for joint customer successes. Our team is expanding to deliver wide-ranging innovations across multiple and complex engineering domains (like security, AI/ML, distributed systems, emerging AWS services, etc.), while pioneering Agentic AI and LLM integrations that enable rapid prototyping and deployment through collaborative AI agent workflows.
Key job responsibilities
As a software development engineer in the AI & Strategic Partner Engineering team, you'll be a self-starter in fast-paced, high-velocity environments to build new capabilities for partner-driven solutions, including strategic collaborations with industry leaders like SAP, working alongside skillful builders, senior engineers and architects. You'll design system architecture and spearhead operational best practices in the design and delivery of new products and solutions. 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 and partners, to understand and ensure their needs are met. Clear, professional, verbal and written communication with teammates and customers is an important part of the job.
Partner Solution Leadership
Design & deliver mission-critical solutions for AWS partners across various engineering domains, not limiting to security, AI/ML, distributed systems, databases, VPC, and emerging AWS services
Build detailed technical specifications and collaborate with AI agents to rapidly prototype and validate solutions
Architect and deliver integrations between partners (like SAP) and AWS-native services, enabling seamless data flow, identity management, and compliance for global enterprises.
Engineering Excellence
Master diverse domains: Security frameworks, AI/ML pipelines, distributed databases, cloud-native infrastructure (VPC, EC2, S3, etc.), and Agentic AI/LLM integrations
Drive innovation through experimentation with large language models, autonomous agents, and generative AI tools to solve partner challenges
Own full-stack development from design to deployment, emphasizing high availability, performance, and customer delight
You should enjoy working on complex systems, be customer-centric, and have a proven track record of building exceptionally high-quality software that delights customers.
Collaborative Execution
Thrive in fast-paced, ambiguity-rich environments with tight deadlines - turning ideas into production-ready solutions quickly
Partner deeply with cross-functional teams (Product, Security, AI Research) to align technical strategies with business goals
Mentor junior engineers and foster a culture of knowledge-sharing, while maintaining rigorous code quality through peer reviews
A day in the life
You'll start by discovering partner pain points, then design architectures that blend security, scalability, and AI innovation. Using AI agents, you'll rapidly prototype solutions, validate them through load testing, and collaborate with partners to ensure adoption. When deadlines tighten, you'll lead brainstorming sessions, troubleshoot complex distributed failures, and document everything to empower future teams.
About the team
The WWCO Partner Systems-Fixed team empowers AWS partners to innovate at cloud scale. We're pioneers in integrating AI-driven capabilities into partner offerings, building secure, scalable foundations for tomorrow's enterprise workloads. Join us to redefine what's possible for partners on AWS.
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.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 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
- Bachelor's degree or equivalent
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience developing or deploying Large Language Models in production, and deep knowledge of Agentic AI tools, agents, workflows, and integration patterns
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, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually
