Java Developer - Spring Boot Microservices Expert

Aiswarya Kattappilly Ravi

Liverpool, United Kingdom +44-749******* ****************@*****.***

Professional Summary

Java Software Engineer with nearly 3 years of experience designing, developing, and deploying secure, scalable, high-performance enterprise applications. Expert in Java (8–21), Spring Boot, REST APIs, microservices, and distributed systems. Hands-on experience with TDD/BDD, CI/CD pipelines (Jenkins, GitHub Actions, Harness), containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure). Skilled in designing end-to-end solutions, integrating systems, performing RCA, and delivering high-quality, maintainable code. Strong communicator with a practical, hands-on approach and proven ability to work collaboratively in Agile environments.

Skills & Attributes

Programming Languages: Java (8–21), SQL, Python, JavaScript

Frameworks & Libraries: Spring Boot, Spring MVC, Spring JPA, Hibernate, JUnit, Integration Testing, BDD,

Backend & API Development: Microservices, RESTful API Development, API Integration, Distributed Systems, J2EE, RESTful Webservices

Cloud & DevOps: AWS, GCP (Cloud Storage, Pub/Sub, Cloud Composer), Azure, Docker, Kubernetes

(GKE), Openshift, Terraform, CI/CD (Jenkins, GitHub Actions, Harness), Deployment Automation

Tools & Platforms: Git, SVN, Maven, Jira, Confluence, Postman

Databases: Oracle, MySQL, PostgreSQL, MongoDB

Methodologies: Agile, Scrum, TDD, BDD, Secure SDLC, RCA, Logging & Monitoring, Build & Deployment best practices

Other: Linux/Unix environments, Containerization, Integration with XSLT/XHTML, Design Patterns, Hands-on troubleshooting

Work Experience

Seidor Opentrends, India Associate Software Engineer Jan 2020 – Sep 2022 Java/Spring Boot Development & System Integration

Developed and maintained Java Spring Boot microservices and RESTful APIs for enterprise applications.

Designed and implemented synchronous and asynchronous microservices using DDD, CQRS, and Event Sourcing principles.

Integrated multiple systems using REST APIs and middleware solutions, improving system reliability and performance by 20%.

Implemented AOP, Transaction Management, and secure coding practices to enhance backend reliability and data security.

Cloud & DevOps Engineering

Deployed and maintained cloud-native applications on AWS, GCP, and Azure.

Automated provisioning and infrastructure using Terraform, and orchestrated containers using Docker, Kubernetes (GKE), and Openshift.

Built and optimized CI/CD pipelines using Jenkins, GitHub Actions, and Harness, reducing deployment time by 30%.

Testing, Quality Assurance & Support

Practiced TDD/BDD with JUnit, integration, system, and regression testing, improving code coverage and reducing defects.

Provided production support, performing incident triage, log analysis, and root cause analysis (RCA), reducing downtime.

Monitored applications with CloudWatch, Stackdriver, and other logging tools to ensure high availability. Collaboration & Leadership

Participated in Agile ceremonies, code reviews, application walkthroughs, and documentation to ensure adherence to standards.

Mentored junior developers on Java, debugging, and testing best practices.

Collaborated with business analysts, designers, QA, and senior developers to deliver end-to-end solutions. Key Achievements

Awarded Star Employee of the Month for excellence in engineering and delivery discipline.

Developed internal Seat Reservation System during COVID-19, improving operational efficiency.

Enhanced reliability of financial systems through proactive monitoring and RCA-based improvements. Technical Projects

DDC Accessioning:

Developed secure microservices, ETL modules, and automated pipelines for diagnostic workflows.

Seat Reservation App:

Cloud-native reservation system with CI/CD automation and resilient microservice architecture.

Open Fit Challenge:

Developed fitness challenge platform with API integrations and modular backend.

Visualization POC:

Developed 50+ dashboards using Python, Pandas, NumPy, and Power BI for resource analysis.

College Chatbot:

Built chatbot for university queries using NLTK and Flask framework, automating 60% of routine responses.

Education

MSc in Artificial Intelligence and Machine Learning 2024 Liverpool John Moores University, Liverpool, United Kingdom Master of Computer Applications 2020

Mahatma Gandhi University, India

Bachelor of Computer Applications 2018

Mahatma Gandhi University, India

Work Excellences & Main Attributes

Achieved First Rank at Mahatma Gandhi University.

Strong expertise in Java, Spring Boot, microservices, cloud-native applications, CI/CD automation, and TDD/BDD.

Skilled in production support, debugging, root cause analysis (RCA), operational reliability, and secure coding.

Effective communicator and collaborative Agile/DevSecOps team member.

Passionate about continuous improvement, engineering excellence, and delivering scalable enterprise solutions.

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