Open To Work
Vinoth Kumar Basuvalingam
Leander,TX
Summary
Software Engineering Leader and Architect with 20 years of experience designing, deploying, and optimizing high-throughput distributed systems, mission-critical FinTech platforms, and enterprise-scale AI-native development ecosystems. Proven track record at Amazon launching 0-1 product architectures that scale to 90,000+ developers, supported by a career foundation engineering transactional integrity, high-availability payment gateways, and automated ledger reporting for American Express and Goldman Sachs. Expert in Java and Kotlin ecosystems, advanced data streaming, cloud-native operations (AWS, Kubernetes, Kafka), and driving end-to-end agentic workflows to optimize software velocity, full-lifecycle resilience, and operational metrics.
Overview
1
1
Certificate
20
20
years of professional experience
Work History
Senior Software Development Engineer
Amazon
09.2019 - Current
- 0-1 Full-SDLC AI Platform (ARCC): Conceived, pitched, and engineered ARCC (Agent Ready Curated Context), an enterprise AI Agent Specifications Management ecosystem serving as the definitive source of truth for Amazon Builder Tools across all SDLC phases—including architecture design, code generation, testing, and live production.
- Scale & Developer Adoption: Led the platform's growth from a 3-week solo Alpha prototype into a dedicated 4-engineer team, scaling production to 90,000+ active developers while maintaining a 99.95% uptime profile and establishing standard CI/CD practices from Day 1.
- Comprehensive Lifecycle Impact: Increased engineering velocity and system resilience by injecting curated context and real-time security intelligence directly into the early design and compilation phases; achieved a 32% reduction in downstream post-deployment defects by shifting defect resolution upstream.
- End-to-End Agentic Orchestration: Integrated AI engines (Claude Code, Kiro) to execute full-lifecycle automated workflows, driving hands-free software generation, continuous regression test synthesis, and accelerated release pipelines.
- Extended ARCC's intelligence layers into operational phases, parsing live system telemetry and automating log analysis during high-severity incidents, compressing MTTR while safeguarding developer environment privacy.
- Developed centralized risk-intelligence and scoring platform correlating distributed security telemetry with business context; engineered high-volume daily ETL ingestion pipelines for S3/Athena Data Lake to standardize multi-system structures into unified Risk Universe schema.
- Org-Wide AI Velocity Leadership: Standardized Specifications-Driven Development across the Amazon Security organization. Authored the reference guide for AI capabilities/agentic coding and deployed an 'Idea to Pipeline' agent, compressing build times and increasing team velocity by 3x.
- Architected and implemented real-time tracking platform for logistics assets (carts, bags), integrating Bluetooth Low Energy (BLE) signals, REST APIs, and data aggregation pipelines to increase tracked assets from 200K to 700K annually, saving ~1,000 person-hours per day.
- Third-Party Security (TPS) Framework: Mitigated global supply chain risks by designing an automated vendor intelligence framework. Engineered predictive risk-identification models with 80%+ accuracy, achieving 96% vendor visibility enterprise-wide and delivering $5M in structural savings.
- High-Value SaaS Migration: Formulated the 3-year technical roadmap to build a new engineering team, migrating a legacy SaaS product to an AWS Serverless Microservices stack, realizing $5M in annual operational savings.
Software Development Team Lead / Lead Java Developer
Credit.com
10.2016 - 09.2019
- Streaming & Real-Time Alerting: Designed the organization’s first cloud-native Java/Spring Boot microservices architecture deployed to Heroku with Docker containers; established duplex communication standards using WebSockets and streaming frameworks for immediate data synchronization.
- Transactional Integrity & Compliance: Overhauled a core financial payment processing platform to adapt to real-time regulatory compliance changes, expanding the organization's payment processing capacity by 40% within two months of launch.
- FinTech Gateway Integration: Collaborated with third-party payment processing networks to develop payment gateway APIs for managing high-volume credit authorizations, refunds, and chargeback protection, enhancing transaction reliability.
- Customer Protection Infrastructure: Established dark web monitoring pipelines and credit bureau integrations that automated real-time customer data-breach alerts and credit report summaries, improving customer safety and awareness.
Technology Lead / Lead Developer
Infosys Technologies
07.2006 - 10.2016
- American Express (Prepaid & Core Banking Systems): Co-architected and developed BlueBird (in partnership with Walmart), building transactional infrastructure for e-checks, bill-pay, and direct deposit. Designed and deployed Amex's first open reloadable prepaid card infrastructure as a high-availability alternative to checking accounts. Engineered high-volume REST APIs and MQ messaging systems for real-time transaction servicing.
- E-Commerce Revenue Generation: Proposed and executed website architecture redesign using Angular and REST APIs, reducing checkout dropouts by 40% and generating an additional $200M in sales during peak holiday season.
- Enterprise Scale Upgrades: Reengineered legacy corporate frameworks into cloud-compatible Domain-Driven microservices, modernizing deployment patterns with continuous integration and automated test sweeps.
- Goldman Sachs (Legal Entity Workstation): Developed cross-desk trading and inventory netting platform for GS Legal team, enhancing regulatory and financial reporting across complex derivative and stock positions.
Education
Master of Computer Applications (M.C.A.) -
Kongu Engineering College
Bachelor of Science (B.S.) - Computer Science
Kongu Arts & Science College
Advanced Studies - Machine Learning
Stanford University
Advanced Studies - Internet of Things: Roadmap to a Connected World
Massachusetts Institute of Technology
Skills
- Java
- Kotlin
- Automated Testing Strategies
- Prompt engineering
- Context protocol
- Microservices
- Domain-Driven Design (DDD)
- Event-Driven Systems
- Serverless Architecture
- Data Processing Frameworks
- AWS (EC2, ECS, Fargate, Lambda, API Gateway, CloudFront, AppSync, CDK, Step Functions)
- AWS Aurora
- DynamoDB
- Redis
- S3/Athena Data Lakes
- OpenSearch
- MS SQL Server
- PostgreSQL
- Kafka
- IBM WebSphere MQ
- Amazon SQS/SNS
- Docker
- Kubernetes
- Jenkins
- Harness
- OpenTelemetry
- CloudWatch
- NewRelic
- Agentic SDLC Orchestration
- Continuous Test Synthesis
- Autonomous Code Generation
- Automated Incident Response
- Context Engineering
- Prompt Engineering
- Model Context Protocol (MCP)
- Claude Code
- Kiro
- Amazon Bedrock
- SageMaker
- ML Pipelines & Orchestration
- Model Deployment & Tuning
- Data Quality Assurance
- Data Visualization Tools
- AI orchestration
- CI/CD practices
- Microservices architecture
Certification
- AWS Certified Machine Learning Engineer – Associate
- AWS Certified Solutions Architect – Professional
- AWS Certified SysOps Administrator – Associate
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
- AWS Certified Cloud Practitioner
Accomplishments
- One Amazon Security 2025: High Impactful Security Outcome Award highlighting the initiatives, 1P Software build resulting in $5MM savings.
Timeline
Senior Software Development Engineer
Amazon
09.2019 - Current
Software Development Team Lead / Lead Java Developer
Credit.com
10.2016 - 09.2019
Technology Lead / Lead Developer
Infosys Technologies
07.2006 - 10.2016
Master of Computer Applications (M.C.A.) -
Kongu Engineering College
Bachelor of Science (B.S.) - Computer Science
Kongu Arts & Science College
Advanced Studies - Machine Learning
Stanford University
Advanced Studies - Internet of Things: Roadmap to a Connected World
Massachusetts Institute of Technology
Core Competencies
Agentic SDLC Orchestration, Autonomous Code Generation, Continuous Test Synthesis, Automated Incident Response, Context Engineering, Prompt Engineering, Model Context Protocol (MCP), Claude Code, Kiro, Microservices, Domain-Driven Design (DDD), Serverless Architecture, Event-Driven Systems, High-Volume Data Pipelines, Ingestion & Invoicing Infrastructure, Java, Kotlin, TypeScript, Node.js, Go, Spring Boot, Hibernate, GraphQL, REST APIs, Kafka, IBM WebSphere MQ, Amazon SQS/SNS, AWS Aurora, DynamoDB, Redis, S3/Athena Data Lakes, OpenSearch, MS SQL Server, PostgresDB, AWS (EC2, ECS, Fargate, Lambda, API Gateway, CloudFront, AppSync, CDK, Step Functions), Docker, Kubernetes, Harness, Jenkins, OpenTelemetry, CloudWatch, NewRelic, Amazon Bedrock (LLM, RAG), SageMaker (Pipelines, Endpoints, Model Monitor), ML Pipelines & Orchestration, Model Deployment & Tuning, Feature Engineering, AWS Glue, QuickSight
Advanced Studies
- Machine Learning, Stanford University / Coursera
- Internet of Things: Roadmap to a Connected World, Massachusetts Institute of Technology
Core Competencies
Agentic SDLC Orchestration, Autonomous Code Generation, Continuous Test Synthesis, Automated Incident Response, Context Engineering, Prompt Engineering, Model Context Protocol (MCP), Claude Code, Kiro, Microservices, Domain-Driven Design (DDD), Serverless Architecture, Event-Driven Systems, High-Volume Data Pipelines, Ingestion & Invoicing Infrastructure, Java, Kotlin, TypeScript, Node.js, Go, Spring Boot, Hibernate, GraphQL, REST APIs, Kafka, IBM WebSphere MQ, Amazon SQS/SNS, AWS Aurora, DynamoDB, Redis, S3/Athena Data Lakes, OpenSearch, MS SQL Server, PostgresDB, AWS (EC2, ECS, Fargate, Lambda, API Gateway, CloudFront, AppSync, CDK, Step Functions), Docker, Kubernetes, Harness, Jenkins, OpenTelemetry, CloudWatch, NewRelic, Amazon Bedrock (LLM, RAG), SageMaker (Pipelines, Endpoints, Model Monitor), ML Pipelines & Orchestration, Model Deployment & Tuning, Feature Engineering, AWS Glue, QuickSight