• Phone: +1 714 504 6677
• Email: alexander@alexandersauceda.dev
• Location: Aurora, CO
• Website: alexandersauceda.dev
• LinkedIn: alexander-matthew-sauceda
• GitHub: alesauce

A dedicated and versatile backend developer looking to utilize API-driven development, system architecture, and software engineering skills learned through 8+ years with Amazon.

• Aug 2021 – present
• Seattle, WA
• Designed and implemented a new Java-based service for abuse report automation and API to integrate with customer service systems reducing engineer time on manual investigations by 10%.
• Overhauled legacy Python abuse reporting codebase to comply with new regulations, reducing process defects by ~89% YoY.
• Designed and implemented new service to automate handling of customer account issues, reducing engineer hours spent on manual processes by 25%. Utilized Python, AWS Lambda, DynamoDB, and SQS as well as Cloud Development Kit (CDK) for infrastructure as code.
• Earned AWS Certified Solutions Architect - Associate certification.
• Oversaw service operations, including CI/CD pipelines, CloudWatch monitors, resolving high-severity incidents and providing root cause analysis as part of team’s on-call rotation.

• Aug 2020 – Aug 2021
• Seattle, WA
• Designed and implemented new analytics tooling, enabling business development teams to proactively identify and correct poor customer experiences, resulting in a customer satisfaction score increase of ~4%.
• Developed a new onboarding guide for partners selling “experiences” and reduced onboarding time by 10% for new sellers.
• Investigated customer-facing issues and provided root-cause analysis to the software development team which resulted in a reduction of software-related defects from 9% to 1.5%.
• Developed a new org standard process for remediating seller connectivity issues.

• June 2016 – Aug 2020
• Seattle, WA/Phoenix, AZ
• Streamlined reporting process for fulfillment network fullness by leveraging SQL skills, which reduced manual bridging time by ~5 hours/week.
• Automated team reports using SQL, Excel, and AWS Quicksight, saving ~20 hours/month.
• Executed multiple projects to reconfigure racking, adding 70,933 cubic feet of storage and saving ~$1,053,940 compared to building new racking.
• Oversaw utilization and stow strategy, setting a new building inventory record with a 15.8% improvement, resulting in 110% storage utilization and ~$900,000 cost savings.

• Aug 2012 – May 2016

• Technologies: Java, Gradle, Python, AWS (Lambda, SQS, DynamoDB, CDK), SQL, Git, CI/CD pipelines, Nix, Ansible