Adithya Merugu — Software Engineer
• Senior Software Engineer with 5+ years of experience building backend and full stack systems using Java, Spring Boot, AWS, and Kafka. • Experienced in designing and operating distributed systems, microservices, and REST APIs that handle high-throughput, event-driven workloads. • Strong background in building scalable backend services, improving API performance, and supporting fault-tolerant production systems. • Hands-on experience with cloud-native development on AWS, including infrastructure automation using Terraform and Kubernetes. • Experience contributing to full stack features using React and working with .NET services in enterprise environments. • Familiar with integrating AI capabilities such as LLMs and RAG pipelines into backend workflows if required. • Open to senior Backend, Full Stack, Java, and .NET Software Engineer roles. -> Languages & Frameworks: Java 17+, Spring Boot, Spring Cloud, Microservices, Hibernate, JPA, API Gateway, Eureka, Resilience4j , Spring Security, ReactJS, Python, JavaScript (ES6) -> Web & API Technologies: RESTful Web Services, OpenAPI (Swagger), JSON, HTTP, OAuth 2 -> Cloud Platforms and Orchestration: Google Cloud Platform (GCP), Docker, Kubernetes, Helm Charts, Container Orchestration, GKE, Amazon Web Services (AWS S3) -> Messaging & Event Streaming: Apache Kafka, RabbitMQ, Google Cloud Pub/Sub -> CI/CD & DevOps: GitHub Actions, Bitbucket Pipelines, Git, GitHub, GitLab, CI/CD pipelines, Jenkins -> Databases: PostgreSQL, Oracle DB, MySQL, Redis, DynamoDB, Cassandra, Neo4j, Snowflake, MongoDB -> Monitoring & Logging: Grafana, Prometheus, Sumo Logic, New Relic, Honeycomb, Elasticsearch, Datadog -> Testing & QA: JUnit, Mockito, Test-Driven Development (TDD), behavior-driven development (BDD) -> Development Tools: IntelliJ IDEA, Eclipse, Visual Studio Code, Postman, SonarQube -> Build Tools: Maven, Gradle
Stackforce AI infers this person is a Backend and Full Stack Software Engineer specializing in cloud-native applications and microservices.
Experience: 4 yrs 8 mos
Career Highlights
- 5+ years of experience in backend and full stack development.
- Expertise in AWS, Java, and microservices architecture.
- Proficient in integrating AI capabilities into backend workflows.
Work Experience
Capital One
Software Engineer (1 yr)
GEICO
Software Engineer (4 yrs 8 mos)
Education
Master's degree at The University of Kansas
Bachelor's degree at Guru Nanak Institutions(GNI )