Kumaraguru Muthuraj
Senior Principal Engineer | Low-Latency Distributed Systems | Secure, Scalable Architectures | Platform Modernization
AI-First Engineering (10x Productivity) | Petabyte-Scale Systems (90K+ Enterprises)
Summary
Senior Principal Engineer specializing in low-latency, secure, petabyte-scale distributed systems serving 90K+ enterprises.
Architect of zero-defect platform modernization initiatives that reduce operational cost, eliminate legacy complexity, and unlock system performance at scale.
Leveraging AI-first engineering to deliver 10x productivity, improving developer velocity, system intelligence, and overall efficiency.
Core Competencies
Distributed Systems & Architecture
Low-latency system design, large-scale distributed systems design, high-availability architectures, scalability patterns, microservices, reactive systems, API gateways, event-driven systems.
Platform Modernization & Engineering Excellence
Legacy system transformation, zero-defect migrations, OpenRewrite automation, feature platforms, developer productivity, CI/CD enablement.
Performance & Scale
Petabyte-scale systems, caching strategies (Redis), concurrency, performance tuning, throughput optimization, load testing (Gatling).
Security & Reliability
Threat modeling (STRIDE), secure design (OWASP), vulnerability remediation (Checkmarx), data protection (CDP, GDPR), IriusRisk, OPSWAT, Kount.
AI, Machine Learning & Agentic Systems
Python, NLP, Pandas, NumPy, TensorFlow, Keras, Rasa, sentiment analysis, recommendation systems, Generative AI (ChatGPT APIs, prompt engineering), CrewAI, GitHub Copilot.
Cloud, Data & Distributed Infrastructure
AWS, Kubernetes, Kafka, Elasticsearch, distributed data systems, database modeling, SQL Server, Oracle, Sybase.
Languages & Frameworks
Java, Java EE, Spring Boot, Spring Cloud Gateway, Reactor, Python, Scala, C# .NET, Visual C++.
DevOps, Testing & Observability
Jenkins, Docker, Gradle, Maven, JUnit, TestNG, Mockito, Automator, Splunk, Jira, Unix Shell scripting, Groovy.
Engineering Foundations
Data Structures & Algorithms, Design Patterns, Concurrency.
Professional Experience
ADP India Pvt Ltd, Hyderabad, India
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Led a complex, multi-phase upgrade of ~70 Maven repositories from Spring Boot 2.2 to 3.2.1 over 12 months:
- Phase 1: Spring Boot 2.2 → 2.7.9 via OpenRewrite; authored custom migration recipes (e.g., SpringFox → SpringDoc).
- Phase 2: Migrated Workforce Now from JDK 11 to JDK 17.
- Phase 3: Upgraded to Spring Boot 3.2.1, Hibernate 6, Kafka, Redis, OpenAPI.
- Impact: Modernized 150 microservices used by 90K+ client companies managing petabyte-scale data across 90 shards, with zero production issues, zero rollback, 90% CVE reduction, and enhanced developer productivity.
- Architecting an Agentic AI-driven platform for job-change induced corrections and decisions, improving accuracy, reducing manual effort, and accelerating policy resolution workflows.
- Serving as Solutions Architect for Canada NG Payroll, driving architectural standards through design and code reviews to ensure scalability, reliability, and maintainability.
- Drove metadata-based policy enablement for Canada Payroll, ensuring accurate policy execution with zero regression impact on US Payroll.
- Architected a high-throughput Office365 attachments service handling ~1400 × 1MB uploads per node/hour with strong scalability and resilience.
- Designed and delivered a resilient integration architecture enabling secure and compliant data exchange between ADP and Workforce Now Recruitment platforms.
- Built a Spring Cloud Gateway–based API Gateway for OneLMS, achieving 1ms p95 domain resolution latency using Redis caching and reactive programming (Project Reactor).
- Designed and delivered a feature toggle SDK with local caching, strategy evaluation, and async reporting, improving response times and simplifying feature rollout.
- Enhanced VirusScan framework using OPSWAT MetaDefender (10+ antivirus engines, DeepCDR), strengthening file security and threat detection.
- Led remediation of 150+ security vulnerabilities using threat modeling (IriusRisk) and SAST (Checkmarx), significantly improving system security posture.
- Designed 'EasyTZ', an NLP-based model to auto-generate test cases, increasing test coverage and reducing manual QA effort.
- Built a sentiment analysis model to extract real-time insights from user feedback (Pendo), enabling data-driven UX improvements.
- Enabled daily production deployments by improving processes and non-functional readiness, increasing release velocity and agility.
- Technologies & Capabilities: Distributed systems architecture, low-latency design, Spring Boot microservices, API gateways (Spring Cloud Gateway), event-driven systems (Kafka), caching (Redis), platform modernization (OpenRewrite), AI/ML (NLP, sentiment analysis), application security (OPSWAT, Checkmarx, IriusRisk), Python, Java.
Topcoder (Telstra & Cisco), India
- Delivered high-impact engineering and platform solutions across telecom and enterprise systems, focusing on observability, performance, and large-scale data simulation.
- Architected an NLP-based alert intelligence system to analyze Splunk error emails, classify incidents, and surface high-impact microservice issues—improving engineer productivity and reducing mean time to resolution.
- Designed and integrated secure microservices enabling backend access to ServiceNow via OAuth and MASSL, with API management through Apigee.
- Engineered high-scale performance testing frameworks using Gatling, simulating 3.5K–5K concurrent users over extended test cycles, and integrated into Jenkins for continuous validation.
- Built a scalable data generation platform to simulate large-scale contact center workloads (~960K contacts, ~12M records/day, scaling to ~1B records), enabling realistic performance benchmarking using Elasticsearch.
- Diagnosed and resolved platform issues using Splunk observability, improving system reliability and root cause analysis efficiency in production-like environments.
- Technologies & Capabilities: Distributed systems, performance engineering, observability (Splunk), API integration (Apigee), secure access (OAuth), data simulation at scale, NLP/ML (Python), Gatling, Elasticsearch, Jenkins.
TradeParallel, Bengaluru, India
- Built data-driven trading intelligence systems leveraging quantitative analysis and machine learning to identify high-probability market signals.
- Designed and developed rule-based and ML-assisted signal generation systems using technical indicators (moving averages, Bollinger Bands) to identify demand-supply zones in financial markets.
- Built Python-based data pipelines and analytical models using Pandas, NumPy, and visualization tools to process market data and generate actionable insights.
- Explored machine learning techniques for predictive signal generation, improving consistency and reducing risk in trade decision-making.
- Developed desktop and cloud-based tools for real-time signal analysis and visualization for retail trading use cases.
- Technologies & Capabilities: Python, Pandas, NumPy, data analysis, machine learning, time-series analysis, signal processing, visualization (Matplotlib, Seaborn), Jupyter Notebook.
Intuit, Inc., Mountain View, California, USA
- Technical Lead for QuickBooks Online Payroll Canada team of 7 engineers, driving design, architecture, and engineering excellence across payroll systems.
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Architected and delivered a large-scale encryption automation platform for securing EIN (US)
and PII (Canada) data, enabling AWS migration:
- Encrypted ~120,000 companies within 9 hours with zero production defects.
- Achieved 100% automation of SQL generation using metadata-driven design and concurrent processing.
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Led critical platform modernization initiatives enabling Payroll migration to AWS:
- Migrated ~15 SOAP APIs to REST.
- Transitioned ~50 client teams to standardized platform endpoints.
- Improved scalability, security, and platform consistency via gateway-based architecture.
- Enhanced fraud detection systems by integrating 13 high-risk features with Kount, resulting in an 18% improvement in fraud detection and prevention.
- Improved system performance and latency through caching strategies and Splunk-driven analysis of slow queries, optimizing peak-season payroll workloads.
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Engineered developer productivity and reliability improvements:
- CI/CD automation eliminating ~1 hour manual effort per deployment.
- Comprehensive sanity test suites reducing defect rates.
- Data-driven refactoring eliminating 80+ dead code paths.
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Built internal diagnostic and productivity tools:
- ShipBoyAnalyzer reducing thread dump analysis time from hours to minutes.
- Regex-based tooling to identify contention hotspots in distributed systems.
- Delivered business-impacting features including “Additional Pay Types”, contributing to a 7% increase in Canada Payroll subscriptions and reducing support calls by 3%.
- Mentored engineers and drove engineering excellence through design reviews and internal knowledge-sharing initiatives (e.g., Java concurrency-focused book clubs).
- Technologies & Capabilities: Distributed systems, secure data processing, API modernization, AWS migration, performance optimization, CI/CD (Jenkins, Docker, Kubernetes), Java, Spring Boot, SQL Server, Splunk.
Intuit, Bengaluru, India
- Progressed through multiple engineering roles to Technical Lead, delivering large-scale platform features, performance optimizations, and modernization initiatives across QuickBooks Desktop and Online Payroll systems.
- Led large-scale platform refactoring initiatives including Banking Holidays transformation across ~450 components (DB, services, UI, integrations), enabling Canada Direct Deposit and contributing to ~50,000 new paid subscriptions with zero production incidents.
- Delivered high-impact product features (Remittance Frequencies, Medicare Tax, Safety Net), increasing subscriptions by ~5% and reducing support calls.
- Architected performance-critical SDK enhancements, including the Bedrock layer for direct DB access, achieving 10× performance gains by bypassing business logic for read-heavy operations.
- Owned core QuickBooks SDK engineering, driving stable API development, major performance improvements, and zero-incident refactoring across transactions, caching (EdLists), and multi-currency systems.
- Led Payments as a Feature (PaaF) initiative, refactoring WPF architecture to event-driven MVVM, enabling ~80,000 merchant onboardings within 4 months.
- Improved system performance and responsiveness through custom caching layers (~100ms response time) and event-driven architecture for QuickBooks Calendar, increasing product adoption.
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Drove engineering productivity and quality at scale:
- Built SDK-based automated testing tools (Project Rainbow).
- Developed regex-based debugging tools for faster root cause analysis.
- Led Coverity initiative fixing 1900+ defects across ~150 engineers.
- Led large-scale engineering initiatives and migrations, including compiler upgrade (VS 2008 → 2010) and cross-team coordination for platform improvements.
- Interviewed 185+ engineers across levels, contributing to building a high-performance engineering organization.
- Mentored engineers and led teams (up to 5 engineers), driving design excellence, code quality, and scalable system development.
- Technologies & Capabilities: Distributed systems, performance engineering, SDK/API design, event-driven architecture, caching, WPF (MVVM), Java, C# .NET, C++, SQL Server, XML/XSLT, automated testing, Agile (SCRUM).
Early Career
Early engineering roles (1999 – 2005) across Hewlett-Packard, i2 Technologies, Tarang Software Technologies, Savantech.com India Pvt. Ltd., and Tata Infotech, contributing to enterprise software systems and large-scale product development across multiple domains.
Education & Certifications
- PG Diploma in Machine Learning & Artificial Intelligence — IIIT Bangalore (2020 – 2021)
- Advanced Certificate in Generative AI — Upgrad (2023 – 2024)
- Backend Engineering Program — Interview Kickstart (2024 – 2025)
- Certified Data Protection Professional (CDP, GDPR) — Identity Management Institute
- Master of Computer Applications (MCA) — PSG College of Technology
- B.Sc. Mathematics — Bharathiar University