Jan 2025 – Mar 2026 · 1 yr 2 mos

• Designed, developed, and maintained scalable, enterprise-grade applications using Java, Spring Boot, and Hibernate, improving system throughput and reducing API response latency by 30% across high-traffic business workflows.
• Built robust CI/CD pipelines leveraging Jenkins, GitHub Actions, and Azure DevOps for hybrid cloud deployments (AWS & Azure), reducing manual deployment effort by 45% and increasing release velocity with near-zero downtime.
• Containerized and modernized legacy monolithic applications into resilient microservices using Docker and Kubernetes, achieving horizontal scalability, improving uptime, and cutting infrastructure costs by 20%.
• Automated infrastructure provisioning using Terraform and Ansible, enabling environment parity across dev, QA, and production, reducing setup time from 2 weeks to 2 days and minimizing configuration drift.
• Integrated static code analysis and security scanning tools (SonarQube, Checkmarx, OWASP Dependency-Check) into CI/CD workflows, reducing vulnerabilities by 25% and maintaining full GDPR and OWASP Top 10 compliance.
• Engineered real-time, event-driven services with Apache Kafka and Spring Boot consumers, processing over 200K messages/sec to support distributed, latency-sensitive features and business-critical event flows.
• Established end-to-end automated test suites using JUnit, Mockito, Selenium, and Cucumber (BDD), improving test coverage to 90%,
• accelerating QA cycles, and reducing post-production defects by 35%.
• Configured centralized monitoring and alerting with ELK stack, Prometheus, and Grafana, enabling proactive observability and reducing mean time to detect and resolve issues by 30% across cloud-native systems.

Jul 2020 – Jan 2023 · 2 yrs 6 mos

• Developed and deployed end-to-end enterprise applications using Java, J2EE, Spring Boot, Hibernate, and Microservices architecture, integrating frontend interfaces built with Angular and React to deliver responsive user experiences and reduce page load times by 30%.
• Built and optimized CI/CD pipelines using Jenkins, GitHub Actions, and Bamboo for automated builds, tests, and deployments, integrating SonarQube for static code analysis and Nexus for artifact management, reducing release times from weekly to daily.
• Containerized applications with Docker and deployed on Kubernetes and OpenShift clusters with Helm charts, enabling seamless scalability and reducing production downtime by 40% across staging and production environments on AWS and Azure platforms.
• Integrated asynchronous communication systems using Apache Kafka and RabbitMQ to handle high-throughput event-driven architecture, improving transaction reliability and decoupling backend services, resulting in a 25% performance boost under load.
• Collaborated in Agile sprints using Jira and Confluence, contributing to secure API development with OAuth2 and JWT, implementing test automation with JUnit, Mockito, and Cucumber BDD, and ensuring GDPR and OWASP compliance through regular DevSecOps reviews.
• Configured ELK Stack, Prometheus, and Grafana for proactive monitoring of Java microservices and cloud systems, enabling faster anomaly detection and reducing MTTR by 30% across distributed deployments.

Sep 2018 – Jun 2020 · 1 yr 9 mos

• Developed and modernized Java web applications using J2EE, Spring MVC, JSP/Servlets, and Hibernate ORM, increasing transactional throughput by 25% and securing APIs with OAuth2 and JWT to meet HIPAA and SOX compliance
• Built and optimized CI/CD pipelines using Jenkins, GitLab CI, and Bamboo with Maven/Gradle, reducing release cycles from monthly to weekly; integrated regression and API test automation to cut post-release defects and manual testing by 35%
• Designed ETL and batch processing workflows with Spring Batch and Quartz Scheduler to automate millions of daily transactions, while leveraging RabbitMQ and Kafka to enable real-time data synchronization and scalable distributed systems.
• Introduced Docker-based containerization and orchestrated deployments using Kubernetes, improving environment consistency and reducing release failures; automated infrastructure provisioning with Ansible and Puppet, lowering manual effort by 40%.
• Enhanced monitoring and observability using Splunk, Log4j, and AppDynamics, improving incident detection and reducing downtime by 20%; actively contributed to Agile ceremonies, improving sprint alignment and decreasing backlog carryover by 15%.
• Refactored legacy modules and implemented design patterns (Factory, Singleton, DAO) to improve code maintainability and reduce technical debt, leading to a 20% reduction in future bug occurrences and easing onboarding for new developers.