Senior Software Engineer - Enterprise Microservices Architect

VARUN GUNDA

**************@*****.*** www.linkedin.com/in/varun-gunda 562-***-****

SUMMARY

Results-driven Senior Software Engineer with 5+ years architecting enterprise-grade distributed systems across fintech and education sectors. Expert in Java, Spring Boot, Python, and React, delivering high-performance microservices and AI-powered solutions on AWS/GCP. Proven track record reducing latency by 40%, cutting deployment times by 70%, and improving system reliability through RESTful/GraphQL APIs, Kafka-based data pipelines, and SQL/NoSQL optimization. Strong advocate for security (OAuth, JWT, MFA), TDD, and mentorship in agile environments.

SKILLS

Languages: Java (8–17), Python, JavaScript, TypeScript

Frontend Development: React.js, Redux, Angular, D3.js, Material-UI, HTML5, CSS3

Backend Development: Spring Boot, Spring MVC, Hibernate, Node.js, Flask, Django, GraphQL, RESTful APIs

Database Management: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch

Cloud & DevOps:

AWS: EC2, S3, RDS, Lambda, IAM, KMS, CloudWatch, SIEM

GCP: Cloud Functions, Pub/Sub, Compute Engine

Docker, Kubernetes, Jenkins, GitLab CI/CD, Terraform

Architecture & Integration: Microservices, RESTful APIs, GraphQL, API Integrations, Swagger, Postman

Message Queuing: Apache Kafka, RabbitMQ

Big Data & Streaming: Apache Kafka, Apache Spark, ETL Pipelines

Security & Compliance: OAuth 2.0, JWT, Multi-Factor Authentication (MFA), Role-Based Access Control (RBAC), PCI-DSS, GDPR

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), CloudWatch, Prometheus, Grafana

Caching Strategies: Redis, Memcached, Application-level Caching

Testing & Quality: JUnit, TestNG, Jest, Selenium, Test-Driven Development (TDD)

AI & Machine Learning: PyTorch, OpenAI API, LangChain, RAG Architecture

Tools & Methodologies: Git, GitHub, GitLab, Maven, Jira, Agile/Scrum, SDLC WORK EXPERIENCE

Western Union Senior Software Developer Feb 2025 – Jan 2026

Architected and deployed scalable microservices using Java, Spring Boot, and Python Flask with RESTful and GraphQL APIs, reducing transaction processing latency by 40% and API response times by 30% while maintaining 99% system uptime.

Engineered real-time data streaming solutions with Apache Kafka and Apache Spark, processing high-volume financial transactions and enabling seamless integration with AI-driven fraud detection systems, improving detection accuracy by 25%.

Optimized PostgreSQL database performance by 50% through advanced indexing strategies, query optimization, and partitioning for high-frequency transactions, while designing robust schemas ensuring data integrity and PCI-DSS compliance.

Developed interactive fraud analytics dashboards using React.js and D3.js, empowering risk analysts with real-time insights and data-driven decision-making capabilities for pattern detection and anomaly identification.

Implemented enterprise-grade security frameworks including OAuth 2.0, JWT authentication, and multi-factor authentication

(MFA), ensuring PCI-DSS, GDPR, FINRA, and SEC compliance while reducing audit risks by 20%.

Automated CI/CD pipelines using GitLab, Docker, and Kubernetes, reducing deployment times by 70% and integrating automated testing, security scanning, and rolling updates for zero-downtime releases.

Designed and deployed scalable AWS cloud infrastructure (EC2, S3, Lambda, RDS) adhering to FFIEC and SOX compliance standards, achieving 99% uptime for mission-critical banking applications.

Established comprehensive testing strategies achieving 95% code coverage through unit and integration testing with JUnit and TestNG, minimizing post-deployment defects and ensuring software quality.

Mentored engineering teams on Spring framework, microservices architecture, RESTful design patterns, and troubleshooting methodologies, enhancing team technical proficiency and delivery efficiency.

Integrated third-party payment provider APIs with rate limiting and retry mechanisms using Spring Boot and Redis caching, enabling seamless transaction routing across multiple providers and reducing integration failures by 45%.

Implemented distributed logging with ELK Stack and CloudWatch, creating centralized log aggregation across 15+ microservices, reducing mean-time-to-resolution for production incidents by 60% through enhanced debugging and performance monitoring. Software Engineer(Research Assistant ) California State University, Long Beach July 2023 – Dec 2024

Architected microservices-based scheduling platform using Java 17, Spring Boot, and Node.js, managing 50,000+ students across 2,500+ sections with 99.8% uptime during peak registration.

Engineered intelligent course scheduling engine with conflict detection algorithms, automatically identifying time conflicts and prerequisite violations, reducing manual registration errors by 85%.

Developed real-time seat availability dashboard using React.js, Redux, and WebSocket, providing instant course opening updates and reducing student support tickets by 60%.

Optimized PostgreSQL database schema for academic calendars and room assignments, improving query performance by 70% through indexing, materialized views, and query optimization.

Implemented Elasticsearch-powered course search with advanced filtering capabilities, achieving sub-80ms response times and improving discovery experience for 50K students across 300+ programs.

Built automated waitlist management system with priority queue algorithms, processing 5,000+ movements per cycle and ensuring fair seat allocation without manual intervention.

Deployed Redis caching layer for course catalogs and student schedules, reducing database load by 55% and improving page load times from 3.2s to 0.8s.

Achieved 90% code coverage through unit and integration testing with JUnit, Jest, and Selenium, catching 95% of defects before production deployment.

Built AI-powered course advisor using RAG architecture with OpenAI embeddings and vector database, enabling students to query course information conversationally, answering 5K+ During registrations with 92% accuracy on prerequisites.

Engineered intelligent course recommendation system leveraging RAG pipeline with LangChain and sentence transformers, analyzing student transcripts and degree requirements to suggest optimal course sequences, improving degree planning for 5,000+ students.

Founding Software Engineer Zillion Technologies (SAIX Inc.) July 2021 – Jan 2023

Architected and deployed AI-driven identity threat detection platform using Python, TensorFlow, Spring Boot microservices, and RESTful APIs, processing 10M+ identity events daily to detect vulnerable identities and prevent breaches, reducing insider threat detection time by 80%.

Engineered real-time anomaly detection engines using machine learning algorithms (Random Forest, SVM, CNN) and behavioral analysis models, analyzing user access patterns and privilege escalations with 95% detection accuracy, identifying zero-day identity vulnerabilities before exploitation.

Built high-throughput data ingestion pipelines using Apache Kafka and Python Flask, streaming access logs from SIEM, IAM, and Active Directory systems, processing 50M+ security events daily to establish ground truth and identify control failures.

Developed automated remediation orchestration system using Python and RESTful APIs, triggering intelligent workflows for access revocation and privilege de-escalation, reducing data exfiltration risks by 90% and automating 85% of remediation tasks.

Designed and developed interactive threat visualization dashboards using React 16.8, D3.js, and Material-UI, enabling security analysts to monitor identity risks and attack patterns in real-time across 50K+ enterprise identities and connected systems.

Engineered cloud-native security platform on Google Cloud Platform using Cloud Functions, Pub/Sub, and Terraform, implementing serverless architecture for real-time identity risk assessment, reducing operational costs by 40% and enabling elastic scalability.

Established CI/CD pipelines using Jenkins and Docker, reducing model deployment time by 60%, implementing automated security scanning and gradual rollout strategies for ML-based threat detection updates with 99.5% uptime.

Built multi-tenant identity platform with tenant data isolation using Spring Boot and PostgreSQL row-level security, supporting 50+ enterprise clients with 99.9% uptime and implementing strict data segregation preventing cross-tenant data leakage. Junior Software Engineer Magnitude Software Dec 2020– July 2021

Developed enterprise IAM applications using Java 8, Spring Framework, Hibernate ORM, and RESTful APIs, building user provisioning and role-based access control (RBAC) for 50K+ enterprise users with 99.5% uptime.

Built database-driven identity management solutions with SQL Server, designing optimized schemas for user profiles and access certifications, implementing stored procedures that reduced query execution time by 40%.

Contributed to AWS cloud migration of legacy identity systems, refactoring authentication services for EC2 and RDS deployment, implementing IAM roles and KMS encryption for secure credential management.

Built automated user provisioning workflows using Spring Boot and Java scheduled tasks, orchestrating employee onboarding and offboarding across 15+ enterprise applications, reducing manual account creation time from 4 hours to 15 minutes.

Developed quarterly access review campaigns using Java Streams and database queries, automating manager approval workflows for 50K users, improving compliance audit readiness and reducing certification cycle time by 70%. EDUCATION

California State University, Long Beach – Long Beach, CA Master's in Computer Science Jan 2023 – Dec 2024 CERTIFICATIONS

Certified API Security Analyst – APIsec University

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