Software Engineer Node Js

Srija Kota

Seattle, WA, USA (Open to Relocate) +1-313-***-**** *****.******@*****.*** LinkedIn Summary

Software Engineer with 5 years of experience in building scalable, high-performance applications across fintech and AI domains. Expertise in Angular, React, node.js, Java, Spring Boot, Python, AWS and microservices. Proven success in reducing latency, enhancing uptime, and integrating real-time data systems. Strong background in CI/CD, observability, and secure API development, delivering innovative solutions that drive efficiency, scalability, and measurable business impact. Experience

Full Stack Developer Doublene, USA Jan 2025 – Present

• Developed key components of a Generative AI workflow platform using React, React Flow, AWS Lambda, DynamoDB, and S3, resulting in $60K ARR and securing $138K in LOIs within the first 6 months.

• Architected a microservices-based e-commerce platform capable of processing 500K+ daily transactions, integrating 15+ internal and third- party services, and enabling seamless scalability, contributing to a 30% increase in system throughput.

• Led the end-to-end integration of a payment gateway, decreasing transaction latency by 40%, improving checkout experience, and maintaining 99.9% system uptime, which resulted in a 15% uplift in successful payment conversions.

• Implemented Apache Kafka-based real-time data streaming pipelines, boosting data processing speed by 70% and supporting over 500K messages/min, enabling real-time analytics and Pre-emptive issue resolution, which reduced downtime incidents by 35%.

• Integrated Elasticsearch with Spring Boot, delivering sub-200ms search latency and enabling real-time updates to transaction and user data, enhancing customer experience and reducing support queries by 25%. Software Development Engineer – 2 911 Fintech Solutions, Bangalore, India Aug 2021 – Jul 2023

• Collaborated with cross-functional teams to architect and maintain scalable Angular component libraries for enterprise-grade applications, driving UI/UX consistency across products and reducing feature development timelines by 15%.

• Designed and deployed cloud-native APIs using AWS services (Lambda, S3), reducing system latency by 25%, while supporting containerized application migrations and contributing to cloud platform governance and best practices.

• Led the cross-functional implementation of Prometheus and Grafana observability tools within an Agile SDLC, enhancing monitoring coverage, reducing incident response times by 30%, and increasing uptime across critical customer-facing environments.

• Formulated scalable backend services using Node.js and Express, optimizing API response times by 20% and enabling seamless integration with front-end Angular applications and third-party services.

• Deployed and managed microservices on AWS using Docker and Kubernetes, and integrated Jenkins-based CI/CD pipelines to automate build and release processes, resulting in a 40% improvement in deployment efficiency. Systems Engineer Infosys Limited, Hyderabad, India Aug 2019 – Aug 2021

• Architected secure and scalable APIs for financial systems using Java, Spring Boot, and Hibernate, ensuring compliance with enterprise architecture standards and strengthening overall security posture by 90%.

• Built and Interfaced RESTful APIs using Node.js and Express, reducing data retrieval time by 25% and enhancing communication efficiency between Angular front-end modules and backend systems, leading to a smoother user experience and faster feature delivery.

• Delivered robust full-stack applications by developing responsive front-end interfaces using Angular, HTML, CSS, and ES6, and integrating with RESTful backend services, significantly enhancing system stability, scalability, and maintainability.

• Built Jenkins CI/CD pipelines with SonarQube integration for automated code quality checks, testing, and secure deployments—cutting release cycles by 30%, reducing post-deployment issues by 95%, and ensuring SDLC and security compliance through collaboration.

• Implemented unit and regression testing using JUnit and Karma within a Test-Driven Development (TDD) framework, reducing production defects by 35% and aligning with established quality assurance standards.

• Resolved 200+ Tier 2/3 incidents, reducing mean time to resolution (MTTR) by 50% and improving overall user satisfaction and SLA compliance.

Systems Engineer Trainee Infosys Limited, Mysore, India Jan 2019 – May 2019

• Contributed to the enhancement of a retail banking system by developing and maintaining features using Spring Boot, Hibernate, JDBC, Oracle, and Angular 4, resulting in a 20% increase in user engagement and improved overall system functionality.

• Streamlined backend workflows and optimized database interactions to reduce customer account update time by 15%, enhancing system performance and user experience.

Skills

• Programming Languages: Java, Python, JavaScript, TypeScript, C#, C++, C

• Frameworks & Libraries: Spring Boot, Spring MVC, Hibernate, Angular, React.js, Next.js, Node.js, Express.js, Django, jQuery

• Web Technologies: RESTful APIs, HTML5, CSS3, Bootstrap, Microservices, SOAP, GraphQL, gRPC, AJAX, JSON, XML

• Databases: MySQL, PostgreSQL, MongoDB, Oracle, SQL Server, Cassandra, Apache Kafka

• DevOps & CI/CD: Kubernetes, Docker, Terraform, Jenkins, Git, GitLab, GitHub, Maven, Gradle, Ansible, MLOps

• Cloud Platforms: AWS (EC2, S3, RDS, Lambda, ECS, DynamoDB, API Gateway, Serverless), Azure (App Services, Functions, Cosmos DB, AKS), Google Cloud Platform (GKE, Cloud Functions)

• Testing & Debugging: JUnit, Selenium, Mockito, Postman, JIRA, SonarQube, Cypress, Jasmine

• Agile Methodologies: Scrum, Kanban, CI/CD Pipelines, TDD, BDD Projects

Single Threaded Relational Database Management System

• Created a single-threaded RDBMS from scratch in C++, focusing on fundamental system internals like file handling, buffer management, B-tree indexing, and query processing, demonstrating a strong grasp of data structures and algorithms for system optimization. Lighten Chatbot application Personal Project (~ 24 hours)

• Developed a secure, scalable chatbot with OAuth and Interfaced LLM-based emotion recognition, ensuring 24/7 system availability and reducing average latency by 30% through an optimized, resilient and modular backend architecture. Education

Master of Science, Computer Science Aug 2023 - May 2025 University at Buffalo, The State University of New York, Buffalo, New York, USA Bachelor of Technology, Computer Science and Engineering Jul 2015 - Mar 2019 Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

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