Mahesh Tammana

Results-driven Software Engineer with 5 years of experience building distributed systems, scalable microservices, and high-availability REST APIs for enterprise product engineering. Expert in Spring Boot, Spring Cloud, Apache Kafka (event-driven architecture), and cloud-native deployments on AWS & Azure. Proficient in CI/CD pipelines, Infrastructure as Code (Terraform), performance optimization, and GenAI integration. Azure AZ-900 certified.

Software Engineer at OpenText (2022-12 – Present)

• Architected 6+ Spring Boot microservices with Spring Cloud, Spring Security & Apache Kafka (event-driven architecture), boosting API throughput by 25% for enterprise content management.
• Optimised data persistence via Spring Data JPA/Hibernate (MySQL & PostgreSQL); achieved 80%+ test coverage with JUnit & Mockito, cutting production bugs by 30%.
• Automated cloud infrastructure using Terraform (IaC) and containerised services with Docker & Kubernetes (EKS) on AWS, enabling fault-tolerant, scalable deployments.
• Drove ~20% latency reduction through caching, query tuning & API Gateway optimisation; mentored junior engineers and championed code-review best practices.
• Integrated Apache Kafka for asynchronous event streaming between microservices, improving system decoupling, scalability, and overall fault tolerance across distributed components.
• Developed frontend features in React (useState, useEffect, useCallback, useMemo, useContext) for state management, performance optimisation, and secure authentication flows.

Associate Software Engineer at OpenText (2021-05 – 2022-11)

• Developed REST APIs with Java & Spring Boot; managed CI/CD pipelines on AWS & Azure via TeamCity, reducing deployment time by 20%.
• Resolved 90%+ of Java backend tickets within SLA through systematic root-cause analysis; contributed to code reviews and team knowledge sharing.

Engineering Intern at OpenText (2020-11 – 2021-04)

• Supported cross-functional teams in testing & release management; administered dev, test, and production environments to ensure stable, high-quality deployments.

B.Tech in Computer Science & Engineering – K L University