Raghunadh Narne

Software Engineer

Hyderabad, Telangana, India3 yrs 1 mo experience

Highly Stable

Key Highlights

Improved workflow reliability by 60% through innovative architecture.
Scaled large-file processing capacity significantly while reducing memory usage.
Implemented critical security safeguards enhancing system integrity.

Stackforce AI infers this person is a SaaS backend engineer with strong expertise in microservices and system reliability.

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Skills

Core Skills

Node.jsSpring BootAwsApi DevelopmentSecurity ImplementationSystem Stability

Other Skills

DockerKubernetesSQSAWS S3Express.jsCybersecurityLoggingAmazon S3React.jsMongoDBRedisApollo GraphQLSpring SecuritySpring MVCYii

About

I’m a Software Development Engineer II with 3 years of experience designing and scaling distributed backend systems and building high-performance micro services. I’m proficient in Node.js, Next.js, Spring Boot, MongoDB, GraphQL, Docker, Kubernetes, and AWS, with a strong focus on system reliability, asynchronous architectures, and performance optimization. At Darwinbox, I improved workflow reliability by 60% by decoupling synchronous and asynchronous execution via Docker + SQS multi-worker architecture, and scaled large-file processing from 4 GB to 50+ GB using streaming and concurrency controls, reducing memory usage by ~70%. I also fixed critical security vulnerabilities, implemented runtime safeguards, and developed internal frameworks, including API layers, script execution runtimes, logging, and scalable Airflow DAGs handling 10k+ daily tasks. I bring strong problem-solving skills, clean coding practices, and a deep interest in system architecture. With 800+ coding problems solved and multiple certifications, I continuously strive to build robust, efficient, and maintainable software systems.

Experience

3 yrs 1 mo

Total Experience

3 yrs 1 mo

Average Tenure

3 yrs 1 mo

Current Experience

Darwinbox

3 roles

SDE-2

Promoted

May 2025 – Present · 1 yr 1 mo · Hyderabad, Telangana, India

● Decoupled automation workflows from the API service, executing synchronous tasks in Docker and asynchronous tasks via SQS with multi-worker processing, improving scalability, reliability, and reducing workflow failures by ~60%.
● Rearchitected a Node.js microservice from EC2 to Docker + Kubernetes, containerising Node.js, Python, and R scripts executions for fault-tolerant, highly available execution, reducing downtime by 90%.
● Optimized tenant file uploads to S3 via streaming with limited concurrency, expanding capacity from 4 GB to 50 GB+, reducing memory usage by ~70% and improving system performance and stability.
● Built a Node.js framework from scratch for executing scripts with built-in SDKs like sending emails.

Node.jsSpring BootDockerKubernetesAWS

SDE-1

May 2023 – May 2025 · 2 yrs · Hyderabad, Telangana, India

● Identified critical security issues, including exposure of sensitive environment variables and unrestricted OS command execution, and implemented runtime safeguards to prevent unauthorised access.
● Developed an API framework incorporating features such as API policies for rate limiting and usage tracking, improving control, monitoring, and reliability of the system.
● Implemented a file-based logging system to replace in-memory logging, reducing memory consumption and improving server stability by eliminating frequent server restarts.
● Implemented Airflow DAGs to run scripts in isolated environments with configurable CPU and memory tiers, reducing server load by ~50% and preventing single points of failure by offloading script executions.

Spring BootExpress.jsAPI DevelopmentSecurity Implementation