# Srujana Reddy V

> Software Engineer | Expertise in Cloud Solutions, Microservices, and Scalable Web Applications | Proficient in AWS, Azure, GCP, Python, Java, React.js, Kubernetes, and DevOps

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/srujanareddyv

Software Engineer with 5+ years of experience designing, developing, and deploying scalable, high-performance applications across fintech, streaming, and enterprise domains. Proficient in Java, TypeScript, and Python, with hands-on expertise in Spring Boot, Node.js, React.js, and Angular. Skilled in building microservices, optimizing RESTful APIs, and developing cloud-native architectures on AWS and Azure. Strong background in database design and optimization (PostgreSQL, MongoDB, SQL Server, Oracle) and real-time data streaming using Kafka. Adept at implementing DevOps automation (Kubernetes, Jenkins, Spinnaker) and applying Agile and TDD practices to deliver reliable, maintainable software solutions that drive measurable business impact.

## Work Experience
### Software Engineer @ BitGo
Jan 2025 – Present | Palo Alto, California, United States
•	Redesigned and enhanced user-facing consent and access workflows using TypeScript, React, and advanced client-side state management, improving OAuth 2.0 authorization reliability and increasing user adoption by 15%.
•	Developed and maintained Node.js and Express microservices within the Access & Notifications platform, delivering secure RESTful APIs supporting granular permission scopes, audit logging, and real-time session management.
•	Built and deployed a GenAI-powered API documentation assistant using OpenAI GPT-4 and LangChain, automating code example generation and schema documentation, which accelerated developer onboarding by 20%.
•	Optimized PostgreSQL and MongoDB queries and refactored data access layers, reducing API latency by 25% and improving responsiveness for real-time UI operations.
•	Integrated structured logging and AWS CloudWatch monitoring to improve cross-stack traceability and reduce Mean Time to Diagnosis (MTTD) for production issues by 30%.

### Software Engineer @ Netflix
Jan 2024 – Jan 2025 | California, United States
•	Designed, developed, and deployed highly scalable microservices using Java, gRPC, and Spring Boot, reducing stream start latency by 18% and supporting Netflix’s global-scale infrastructure.
•	Engineered Kafka-based event streaming solutions for real-time data processing, recommendation engines, and user activity tracking, boosting event throughput by 50%.
•	Improved front-end performance and personalization by optimizing React.js, Node.js, and GraphQL interfaces, increasing user engagement metrics by 22%.
•	Leveraged AWS serverless computing (Lambda, ECS, S3) to build cloud-native architectures, reducing infrastructure costs by 12% through efficient resource utilization.
•	Automated CI/CD pipelines with Spinnaker, Kubernetes, and Jenkins, cutting deployment time by 45% and enhancing release reliability.
•	Applied Chaos Engineering principles and implemented robust unit testing frameworks (JUnit, Mockito) to achieve 95% test coverage and decrease production incidents by 35%, ensuring high platform stability.

### Software Engineer @ Accenture
Jan 2022 – Jan 2023 | India
•	Developed enterprise-grade applications using Java, Spring Boot, and Angular, integrating Oracle and SQL Server databases to deliver secure, high-performance API-driven solutions.
•	Implemented cloud-native solutions on Microsoft Azure, leveraging Azure Functions, Azure Kubernetes Service (AKS), Docker, and Azure App Services, cutting infrastructure costs by 25% for enterprise clients.
•	Engineered responsive front-end applications using Angular, TypeScript, and modern CSS frameworks, ensuring cross-platform compatibility and compliance with accessibility standards (WCAG).
•	Applied Agile (Scrum, Kanban) methodologies and SDLC best practices, incorporating Test-Driven Development (TDD), peer code reviews, and continuous integration, accelerating project delivery by 20%.
•	Built and tested Java and Python applications using JUnit, Mockito, and pytest, reducing production defects by 25% and improving software stability across multiple environments.


## Education
### Master's degree in Information Technology
University of Cincinnati

### Bachelor's degree in Information Technology
CVR College of Engineering, Hyderabad


## Contact & Social
- LinkedIn: https://linkedin.com/in/srujana-reddy-v-02368b350

---
Source: https://flows.cv/srujanareddyv
JSON Resume: https://flows.cv/srujanareddyv/resume.json
Last updated: 2026-04-10