Connor Small
Peoria
Summary
Full Stack Software Engineer with 7 years of experience in crafting advanced cloud solutions and machine learning applications at Amazon. Expert in AWS, Java, and CI/CD, recognized for enhancing system reliability and efficiency through strategic leadership and cross-functional collaboration. Committed to pushing technological boundaries and nurturing the next generation of engineering talent.
Overview
8
8
years of professional experience
Work History
Software Development Engineer
Amazon
01.2018 - Current
- Designed and implemented a workflow engine powering 45+ reusable safety workflows across 3,000 global warehouses.
- Developed scalable backend in Java and frontend in React/TypeScript with CDK for infrastructure and ECS for deployment.
- Reduced dock-related safety incidents by over 80%, processing 130K+ workflows daily at global scale.
- Led sprint planning as Scrum Master, ensuring stakeholder alignment and project success.
- Built a defect lifecycle tracking app using GraphQL, SNS, and DynamoDB, reducing load-related defects by 60%.
- Delivered cross-border compliance microservices generating legal PDFs for all outbound Amazon loads worldwide.
- Created a real-time alerting system using AWS AppSync/WebSockets for feature rollout and incident transparency.
- Designed a computer vision system with Rekognition and SageMaker, improving load strap compliance from 72% to 98% within three months.
- Developed scalable software solutions for various Amazon services.
- Collaborated with cross-functional teams to enhance product features.
- Mentored junior engineers on best coding practices and tools.
- Streamlined development processes to improve team productivity.
- Participated in agile ceremonies to refine project requirements.
Education
BS - Computer Science - Software Engineering
Arizona State University
TempeSkills
- Java and Spring Boot
- GraphQL and AWS services
- Cloud architecture and formation
- JavaScript frameworks (React and Angular)
- CI/CD practices
- Infrastructure as code
- Software testing methodologies
- Scrum processes and agile practices
- Technical leadership and mentorship
- Nodejs development
- HTML, CSS, and SASS
- SQL database management
- Machine learning and computer vision techniques
- Cloud security best practices
- VPC and Route 53 management
- Infrastructure management and host allocation
Accomplishments
- Pending Patent: Co-inventor on CV system for trailer safety and loss prevention
- Executive Recognition: Demoed systems to Amazon's CEO of Stores and VP of Global Safety
- Top-Tier Performance: Rated 'Exceeds Expectations' 3 years in a row
- Trusted Leadership: Stepped into interim manager roles; led team vision and planning
Timeline
Software Development Engineer
Amazon
01.2018 - Current
BS - Computer Science - Software Engineering
Arizona State University