Software Development Engineer II, AWS AI & Strategic Partner Engineering
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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.
- 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
- 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
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
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
