Arun tej Saibabu Gudavathi — Software Engineer

I am a software engineer with over nine years of experience delivering enterprise applications, APIs, and cloud-based solutions. My core expertise lies in NodeJS and TypeScript, building scalable microservices and serverless applications on AWS using Lambda, API Gateway, ECS, DynamoDB, and Secret Manager. I have designed and maintained both REST and GraphQL APIs, ensuring they are resilient, performant, and user-centric, while integrating seamlessly with modern front-end frameworks like ReactJS and Angular. I bring strong experience in automated testing, having implemented unit, integration, and UI tests with Playwright, Jest, Supertest, and Mockito, following test-driven development practices. I have built server-side rendered applications with NodeJS and React to optimize SEO and load times, and I regularly work with caching and messaging solutions like Redis, RabbitMQ, and AWS SQS to improve reliability and throughput. In production environments, I have supported on-call responsibilities using New Relic, OpsGenie, AWS CloudWatch, Splunk, and distributed tracing to monitor systems, troubleshoot issues, and maintain uptime. My background also includes managing relational and NoSQL databases such as PostgreSQL, MySQL, and MongoDB, and optimizing queries for performance at scale. On the DevOps side, I have automated CI/CD pipelines using GitHub Actions, CircleCI, GitLab CI/CD, and Jenkins, and I am experienced in defining infrastructure with Terraform and deploying applications in Docker and Kubernetes. I follow Agile practices closely, collaborating with cross-functional teams through JIRA and Confluence, and ensuring delivery aligns with business priorities. Security and reliability are constant priorities in my work. I have implemented secure authentication and authorization mechanisms with OAuth2 and Single Sign-On, automated system administration with Linux and shell scripting, and built logging and monitoring frameworks to strengthen observability. Across platforms—AWS, Azure, and GCP—I have consistently delivered solutions that scale, remain reliable under load, and meet customer needs.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

Experience: 9 yrs 3 mos