Software Development Engineer II, Amazon
About The Position
The Foundational AI — Quick & Automation Platform Team drives AI adoption and builds the automation infrastructure that powers Amazon Quick Suite internally. We are responsible for launching Quick Suite features to 450,000+ Amazonians, building custom connectors and integrations (e.g., GRASP), and developing platforms like Ciphr and ORCA for AI-powered workflow automation. Our mission is to use AI to measurably improve productivity for every Amazonian. Role Overview We are looking for a talented SDE2 to help us build and scale the AI-powered automation platform behind Amazon Quick Suite. You will design and deliver features that enable natural language workflow automation, agentic AI capabilities, and enterprise integrations — all operating at massive scale. You will own end-to-end delivery of projects, contribute to technical direction, and work at the intersection of AI/ML, distributed systems, and developer productivity.
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
Nice To Haves
- Experience with AI/ML systems, LLM-based applications, or agentic AI frameworks
- Experience with AWS services (e.g., Lambda, DynamoDB, S3, SQS, ECS, Bedrock, Step Functions)
- Experience building workflow automation or orchestration platforms
- Familiarity with CI/CD pipelines, infrastructure-as-code, and operational best practices
- Experience with enterprise integration patterns and connector frameworks
- Track record of delivering complex, ambiguous projects independently
- Strong written and verbal communication skills
- 3+ 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
Responsibilities
- Design & Build AI-Powered Systems: Architect and implement scalable services that use Quick Flows, Quick Automate, and custom agent capabilities
- Build Integrations & Connectors: Design and develop connectors that enable Quick Suite to interact with enterprise tools and internal Amazon systems
- Own End-to-End Delivery: Drive features from design through deployment, including operational excellence and monitoring
- Scale for Impact: Build systems that serve 450,000+ internal users and external AWS customers with high availability and low latency
- Collaborate Across Teams: Partner with Quick Suite product teams, AWS service teams, and internal customers to define requirements and deliver solutions
- Raise the Bar: Mentor junior engineers, improve engineering practices, and contribute to team-wide technical standards
- Design and implement robust, scalable architectures for AI-powered applications.
- Develop high-performance backend services to support AI model integration and data processing.
- Create and maintain RESTful APIs for seamless interaction between AI models and front-end applications.
- Design and implement microservices architecture to ensure modularity and scalability of the system.
- Optimize code and database queries for handling large-scale data and high-concurrency scenarios.
- Partner with UX/UI designers to understand user workflows and translate them into intuitive and user-friendly features
- Leverage AWS services to build and deploy cloud-native applications.
- Ensure the implementation of robust security measures and compliance with data privacy regulations.
- Conduct thorough code reviews and mentor other engineers on the team to maintain high code quality standards.
- Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
