Close integration work with the frontend team across multiple customers

Interconnected Java microservices using PostgreSQL, Kafka, Redis, Amazon Simple Workflow Service (SWF), and AWS Lambda in FedRAMP environment

Mentored and onboarded junior engineers to AWS SWF and Lambda Functions

Python end to end tests

Designed terraform to interconnect and deploy AWS Lambda Functions with SWF microservices

Modified Jenkins pipelines as needed to enable deployments

Installed Sleuth tracing framework to trace HTTP requests throughout dozens of microservices

Implemented Graphana alerts to monitor services

Implemented PostgreSQL-backed microservice on AWS to store and encrypt customer credentials

Created Java microservice to poll for shipment updates and write them to a Kafka topic

Implemented unclean shutdown and corruption detection regression tests in Python

Corrected clean and unclean shutdown handling and memory management issues

Led effort to handle data integrity issues on a more granular layer improving storage reliability

Developed throttling of background disk compaction activity to mitigate performance variability

Created metrics to allow for proactive monitoring of compaction activity by support

Handled impacts at all layers of the stack

Used gathering writes and batching to improve performance

Gained experience with changing requirements

Took initiative to work with the support team to diagnose problems and prioritize and design solutions

Consumed new HTTP and RabbitMQ API to communicate disk state changes between processes

Adapted Python regression tests for new API