OUTSOURCE: https://www.pmi.com/ * Leading a small team of backend engineers, driving feature development, performance improvements, and production stability across multiple micro-services. * Spearheaded migration to AWS EKS, designing containerized workloads and optimizing CI/CD pipelines for scalability and cost efficiency. * Modernized asynchronous communication by migrating the message flow from RabbitMQ to AWS SNS and SQS, improving reliability and simplifying maintenance. * Partnered closely with solution architects and DevOps to design cost-efficient, cloud-native solutions that improved resource utilization by 25%. * Mentored junior engineers, introduced code quality standards, and enforced CI/CD best practices to ensure seamless, low-risk releases. * Enhanced system observability with advanced monitoring and alerting, improving incident detection and response time. Technologies: Java 17, Spring Boot, Spring Cloud, AWS (EKS, S3, SQS, SNS, RDS, CloudWatch) PostgreSQL, Docker, Kubernetes, Jenkins, Gradle, JUnit 5, Git, CI/CD.

* Developed reactive programming solutions, cutting resource usage time and increasing app speed by 17.4%. * Migrating app to AWS services SQS, S3, EC2, and Lambda. * Hands-on practice in Kafka integration. * Hands-on practice on TTD. Technologies: Java 17, Gradle, JUnit 5, Test Containers, Kafka, AWS S3, Project Reactor, Micro services, Spring Boot, Flyway, PostgreSQL, HashiCorp Consul, Eureka, Zipkin, Docker.

* Promoted to the performance optimization track by the team lead * Increased system performance by 21.4% through in-depth analysis and refactoring of inefficient Hibernate usage, eliminating costly database bottlenecks. * Profiling and monitoring the memory usage of the application. Technologies: Java 6, EJB, Oracle, PL/SQL, Hibernate, Junit.

* Created APIs that reduced customer registration times from 45 minutes to 10 minutes, improving shop efficiency by 77%. * Implemented secure JWT-based authentication and developed unit/integration tests to ensure API stability. * Enhanced data handling by developing PL/SQL procedures, reducing query execution times by 23.2%. Technologies: Java 11, Maven, Spring Boot, Oracle, PL/SQL, JPA, JWT, Junit.