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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, AWS Commercial Application Services - **Company:** Amazon.com, Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $193,300.0 - $261,500.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Application Services, Code Review, Computer Programming, Databases, Software Design Patterns, Distributed Systems, Identity and Access Management, Iterative and Incremental Development, Load Testing, Machine Learning, Software Architecture, Systems Development Life Cycle, SAP (Applications), Software Engineering, Data Streaming, System Availability, Large Language Models, Generative AI, Information Technology, Optimization Algorithms, Build Process, Virtual Agents, Software Coding, Software Version Control, Programming Languages - **Published:** August 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e31a72f24611f1ec ## About the Role * 7+ 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 Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques, * 7+ 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 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 * Autonomous Agent & Generative AI Engineering: Experienced in creating, maintaining, and successfully deploying multiple autonomous AI agents into production systems for enterprise customers and external partners. Possesses a deep understanding of different AI-native technologies, with demonstrated success implementing robust guardrails ## 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., You'll define the technical direction for your team, own architectural decisions, and drive cross-team alignment in a fast-paced, high-velocity environment, building partner-driven solutions alongside skillful builders, senior engineers, and architects. You'll design and deliver mission-critical integrations between partners (like SAP) and AWS-native services spanning Agentic AI, LLM workflows, distributed systems, security, databases, and emerging AWS services, enabling seamless data flow, identity management, and compliance for global enterprises. You'll architect AI-augmented SDLC patterns, collaborate with AI agents to rapidly prototype and validate solutions, and own full-stack delivery from design through production, emphasizing high availability, performance, and customer delight. You'll build detailed technical specifications, master diverse domains, and turn ambiguity into shipped products. You'll mentor junior engineers, partner with cross-functional teams (Product, Security, AI Research), influence roadmaps through data and credibility, and 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 scalability, security, and AI innovation. You'll rapidly prototype solutions using AI agents, validate them through load testing, and drive cross-team alignment with partner service teams. You'll mentor engineers through design reviews, troubleshoot complex distributed failures, and document decisions to empower future teams. Occasional travel may be required based on engineering work requirements with partners. About the team The AI & Strategic Partner Engineering 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 thrive on one-on-one collaboration, thorough but kind code reviews, and the autonomy to drive high-impact technical decisions. We invest in your growth through challenging projects that expand your architectural breadth and leadership influence. ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Are Code Reviews Worth It? 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