Alexey User
@alexeyuser
Senior Java engineer building cloud-native microservices and real-time platforms.
United StatesWhat I'm looking for
I’m a Senior Java Engineer with 15 years of experience specializing in building and optimizing cloud-native applications using Java, Spring Boot, and Kubernetes, along with Angular-based front-ends. I’ve led enterprise modernization efforts—most notably developing and migrating a Patient Data Management System into a microservices-based architecture—while keeping a sharp focus on scalability, performance, and HIPAA-compliant security.
In my recent work, I design and implement microservices and RESTful/GraphQL APIs, integrate Kafka and MongoDB for real-time data processing, and deploy containerized services across AWS and GCP (including Kubernetes, GKE, GKE-style operations, monitoring, and logging). I also mentor teams, establish engineering requirements, enforce code quality with unit testing, and automate delivery with CI/CD pipelines (Jenkins and AWS CodePipeline), ensuring high availability and faster incident response.
Experience
Work history, roles, and key accomplishments
Led migration of Mayo Clinic’s Patient Data Management System to a microservices architecture, integrating Java 17, Spring Boot 3, MongoDB, and Kubernetes on GCP/AWS. Increased platform capacity by 40% and improved scalability, performance, and HIPAA-compliant compliance through Kafka streaming, GraphQL APIs, monitoring, and encryption.
Enhanced Mayo Clinic’s telemedicine platform by building cloud-native backend services and responsive UIs with Java/Spring and Angular/React. Improved scalability and security, implemented real-time data flows and WebRTC, and increased platform capacity by 40% to reduce latency during surges in telemedicine usage.
Developed LoanDepot’s in-house Loan Decisions Engine, building Java/Spring backend services and automating loan data validation, scrubbing, and approval workflows. Improved performance and maintainability with Redis caching, Kafka-based microservice messaging, a BFF architecture, and AWS migration (EC2/RDS/S3/Lambda/Elastic Beanstalk).
Contributed to the migration and enhancement of Johnson & Johnson’s Inventory Management module using Java 6 and Spring. Built RESTful APIs and backend services, integrated with C# legacy systems, implemented JMS messaging and caching, and optimized SQL Server queries to improve performance and reliability.
Education
Degrees, certifications, and relevant coursework
University of South Florida
Bachelor’s Degree, Computer Information Systems
2005 - 2009
Earned a Bachelor's degree in Computer Information Systems from the University of South Florida (2005–2009).
Tech stack
Software and tools used professionally
Postman
Splunk
BrowserStack
Microsoft Azure
Google Cloud Platform
Stackdriver
RxJS
Kubernetes
AWS CodePipeline
Jenkins
CircleCI
Pandas
AWS Data Pipeline
MySQL
PostgreSQL
MongoDB
SQLite
Gmail
Node.js
Spring Boot
Next.js
Spring Framework
Spring MVC
Tailwind CSS
Material-UI
Figma
Chrome DevTools
Redis
Terraform
Visual Studio
IntelliJ IDEA
Jira
Gradle
Java 8
jQuery
JavaScript
Java
JSON
Logstash
Log4j
Kafka
Grafana
Kibana
Prometheus
Nagios
Ubuntu
Linux
Windows
Azure Active Directory
GraphQL
Elasticsearch
Ansible
AWS Lambda
Serverless
Visual Studio Code
WebRTC
Root Cause
s3-lambda
SQL
Google Kubernetes Engine
Azure Blob Storage
NgRx
AWS KMS
TestRail
Enhance
Make
Instantly
Dynamic
Remote
Jan
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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