Vignesh G R, Software Engineering Manager

Hello, I'm

Vignesh G R

Software Engineering Manager · Lending platforms & backend

Alma mater VIT University Master (MCA)

Engineering Manager, Lending Platforms, Java & Spring Boot, Microservices, Backend Leadership
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LinkedIn | Portfolio | Medium

About

About Me

Vignesh G R, Software Engineering Manager

Software Engineering Manager

Platform engineering · Distributed systems · Engineering leadership

Engineering leader with 7+ years of experience building and scaling backend platforms across fintech lending, global diagnostics, and high-volume operational systems. Focused on platform reliability, architecture evolution, engineering delivery, and leading teams operating in production-critical environments.

Currently leading backend and platform engineering at Vivriti Capital across lending systems spanning loan origination, credit decisioning, collections, repayments, and partner integrations. Previously at Ford Motor Company driving backend engineering for global live vehicle diagnostics platforms, including PCF → GCP modernization, regionalized platform architecture, and large-scale operational reliability.

Core stack: Java · Spring Boot · Kafka · Redis · MongoDB · SQL · Microservices · REST APIs · AWS · Azure · GCP · PCF · Docker · Keycloak · Nginx · Event-Driven Systems · Platform Reliability

7+ years experience MCA · VIT AWS · Azure · GCP · PCF
Name Vignesh G R
Birthday 4 April 1996
Degree Master (MCA)
Experience 7+ years
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Career

Education & Experience

Education

2017 — 2019

Master of Computer Applications

VIT University

2014 — 2017

Bachelor of Computer Science

VIT University

Experience

Nov 2025 — Present · Chennai

Software Engineering Manager

Vivriti Capital

  • Leading backend and platform engineering for lending systems spanning LOS, credit decisioning, collections, repayments, and partner integrations across product, risk, and operations workflows.
  • Production scale: 260K+ applications with peak ~80K/month; 470K+ bureau-backed credit evaluations across CIBIL, Equifax, and CRIF integrations.
  • Collections platform processing 240K+ repayment events, 40K+ foreclosure-related events, 50K+ charge-type repayments, and 55K+ policy computations.
  • Supporting multi-partner lending workflows with 10 active partner codes in production.
  • Driving platform reliability improvements across tracing, operational visibility, idempotent APIs, retries, distributed schedulers, and integration-heavy systems including payments, IAM, eSign, and document workflows.
  • Stack: Java 21 · Spring Boot 3 · MongoDB · SQL · Redis · Microservices · Keycloak · AWS S3
Jul 2023 — Nov 2025 · Chennai

Senior Software Engineer and Anchor

Ford Motor Pvt Ltd

  • Led the development of a global live diagnostic system for vehicles, optimizing response times for technicians and enhancing real-time data processing.
  • Designed a new architecture for regionalized data optimization across microservices, improving efficiency and scalability.
  • Developed 9 microservices to manage vehicle model software lists and diagnostics, ensuring seamless integration across platforms.
  • Led the migration of microservices, databases, Pub/Sub, Kafka, Apigee, and Nginx from PCF to GCP, with minimal downtime and improved cloud efficiency.
  • Resolved a critical China user impact issue using ELGB and Datapower Nginx for traffic routing and accessibility.
  • Monitored and resolved system-wide issues across global deployments for high availability and performance.
  • Optimized gateway and upstream/downstream flows for the diagnostics platform.
  • Migrated millions of records in under five minutes with optimized scripts.
  • Built scripts for automated response comparison across environments.
  • Delivered an Angular-based UI for diagnostics data visualization.
Sep 2020 — Jul 2023 · Bengaluru

SDE-2, Backend, DevOps

Saveo Healthtech (Startup)

  • Backend systems for Saveo Retail and Saveo Wholesale.
  • Scalable systems with Spring Boot, Spring Batch, Kafka, Redis, and Airflow.
  • Increased daily transactions by 78% (1,000 → 7,500 orders).
  • Reduced order processing time by 40%.
  • Migrations: MongoDB → MySQL, AWS → GCP (~60% faster queries).
  • Time-based scaling cut server crashes by 50%.
  • Spring Batch + Kafka for large-file processing under 2 seconds.
  • ~60% growth in registered pharmacies.
  • Reliable, fault-tolerant processing for large files and higher order throughput.
Jul 2019 — Sep 2020 · Chennai

Associate Software Engineer

Innova Solutions

  • CHC project — hosted data services for a healthcare client.
  • Java 8, Python, Spring Boot, Gradle.
  • Deployment time 20% faster (2 hours → 30 minutes).
  • Container deployment with Docker; SAFe Agile; test-driven design.

Writing

Articles

Technical writing on microservices, observability, Elasticsearch, GCP, and Spring Batch / Kafka — published on Medium.

Microservices Observability: Logging, Tracing, and Metrics Best Practices
Dec 22, 2025 · Observability

Practical guidance on logs, distributed tracing, and metrics for microservice architectures.

Read on Medium
ETL Secrets: Syncing Databases with Elasticsearch the Right Way
Aug 16, 2025 · ETL · Elasticsearch

An ETL pattern to keep Elasticsearch in near real-time sync with your source databases.

Read on Medium
From 40-Second Waits to ~600ms Searches: Supercharging Product Search
Aug 15, 2025 · Elasticsearch · Spring Boot

How we improved search latency and user experience when feedback pointed to painful wait times.

Read on Medium
Low-Latency Google Cloud Storage with Multi-Region Replication
Aug 12, 2025 · GCP · Performance

Faster global uploads and downloads when file latency becomes a bottleneck for distributed users.

Read on Medium
Seamless Data Processing: Spring Batch meets Kafka
Jul 29, 2023 · Java · Kafka

High-volume batch processing with Spring Batch and Kafka for efficient, reliable pipelines.

Read on Medium
View all on Medium

Skills

My Skills

Java 21 / Spring Boot 3
90%
Docker
85%
AWS
90%
Azure
85%
MongoDB
85%
GCP
85%
React JS
65%
PCF
75%
Redis
85%
Python
80%
Mysql
85%
Kafka
80%
Devops
85%
GIT
80%
Keycloak
78%

Projects

Selected work

Lending platform
Vivriti Capital | Chennai

Engineering manager for production lending stack: LOS, credit rules, collections, bureau integrations, IAM, payments, and documents — Java 21, Spring Boot 3, MongoDB, Redis, microservices.

WhatsApp Bot
MM Agencies | Bengaluru

Developed a WhatsApp bot using Spring Boot, Docker, Amazon AWS, MySQL, and ReactJS, enabling 2-way communication to display product details, resulting in a 40% increase in customer engagement.

Implemented live tracking of product availability, improving delivery time by 30%, and designed customer interaction workflows that led to a 40% increase in sales.

Cache Code
Freelance Project | Bengaluru

Developed a billing system for cafes, retail shops, and travel services based on monthly subscriptions, generating daily, weekly, and monthly sales reports, resulting in a 15% increase in sales.

Implemented live invoice creation, reducing processing time by 50%. For more information, visit Cache Code. Credentials available on request.

Contact

Contact Me

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