Architecting High-Throughput Systems ๐Ÿš€

I'm Nithinraaj J, a Backend Engineer dedicated to architecting high-scale products and innovative tools that bridge technical gaps. Passionate about crafting meaningful AI-driven solutions and exploring the frontiers of MCP, RAG, and NLP. ๐Ÿ› ๏ธ๐Ÿค–

The Engineering Mindset ๐Ÿง 

Backend Engineer specializing in resilient, high-throughput distributed systems using Java, Go, and Kafka. Focused on cloud-native microservices, event-driven architectures, and Saga-based transaction management. I build scalable AWS data pipelines and automation frameworks that ensure 100% data integrity and peak system performance. โšกโš™๏ธ

70%

Manual Workload Automated

AI-Driven Automation

Led development of SpotterGPT (NLP validation), boosting accuracy by 35% and slashing manual review time by 70%.

45%

Search Speed Improvement

Pipeline Architecture

Architected a real-time ingestion pipeline using Java and Kafka to stream enterprise datasets to AWS S3, utilizing AWS Glue and Athena for sub-second analytical querying.

Monolith โ†’ Microservices

Strategic Migration Lead

Microservices Mastery

Designed and deployed 6+ production-grade RESTful APIs, owning the end-to-end development of 3 core modules within a high-availability microservices architecture.

100%

Data Integrity Maintained

System Reliability

Delivered scalable features with 100% data integrity during service cutovers through modular isolation and robust SDLC practices.

Experience

The journey of building enterprise-grade solutions.

Senior Software Engineer ๐Ÿ›ก๏ธ

Securonix June 2023 โ€” Present

Leading architectural innovations in cloud-native microservices and AI-driven security automation. ๐Ÿค–๐Ÿ›ก๏ธ

JavaGoKafkaAWS

Securonix Deep Dive

Tech Stack

Java, Go, Spring Boot, Kafka, AWS (EKS, EMR, S3, Glue), Redis, SQL, Spark.

AI-Driven Automation

Led development of SpotterGPT (NLP validation), boosting accuracy by 35% and slashing manual review time by 70%.

Cloud Data Lake Integration

Architected a real-time ingestion pipeline using Java and Kafka to stream enterprise datasets to AWS S3, utilizing AWS Glue (ETL) and Amazon Athena to enable high-performance, sub-second analytical querying.

Microservices Mastery

Designed and deployed 6+ production-grade RESTful APIs, owning the end-to-end development of 3 core modules within a high-availability microservices architecture.

System Reliability

Delivered scalable features with 100% data integrity during service cutovers through modular isolation and robust SDLC practices.

Enterprise Security

Integrated OAuth 2.0 SSO across distributed services to secure sensitive enterprise data.

Product Engineer ๐Ÿš€

Edgeverve (Infosys) 2023 Aug - 2024 Jan

Developed cloud-ready microservices and specialized in GenAI prompt engineering. โ˜๏ธโšก

JavaSpring BootDockerK8sGrafanaGenAI

Edgeverve Deep Dive

Tech Stack

Java, Spring Boot, Spring Cloud, Microservices, Docker, Kubernetes, Grafana, Amazon S3, Generative AI.

Certifications & Training

Completed internal certifications in Java, Spring Boot, Spring Cloud, Microservices, and Generative AI & Prompt Engineering. Trained in A-to-A Architecture and scalable system design principles.

Microservices Development

Worked on Spring Boot microservice modules, performing bug fixes and minor feature enhancements. Gained hands-on experience with Docker, Kubernetes, Grafana, and Amazon S3 for cloud-ready deployments.

Software Engineer ๐Ÿ“Š

Opentext (Microfocus) Nov 2021 โ€” June 2022

Optimized data ingestion pipelines and led high-performance database PoCs. ๐Ÿ“ˆ๐Ÿ—๏ธ

JavaDropwizardKafkaPostgreSQLDocker

Opentext Deep Dive

Tech Stack

Java, Dropwizard, Spring Boot, Kafka, PostgreSQL, AWS S3, Docker, Kubernetes.

Data Pipeline Optimization

Built a Dropwizard REST API to process Kafka data into S3 Parquet files, improving search speed by 45% and standardizing datasets for high-performance analytical queries.

Performance PoC

Spearheaded a performance-focused PoC using PostgreSQL and MongoDB Atlas, optimizing indexes to accelerate data retrieval for high-volume workloads while streamlining deployments via Docker and Kubernetes.

Featured Projects

Complex systems, simplified.

SubstraX

SubstraX ๐Ÿ’ณ

Event-Driven Payment Orchestration.

Spring BootKafka (Avro)KeycloakRedis
Event-Driven Architecture

Engineered a Spring Boot orchestration system using Kafka & Schema Registry for subscription billing with exactly-once processing. ๐Ÿš€

Distributed Transactions

Implemented Saga Pattern with Idempotency and Timeout handling to maintain consistency across Fraud and Payment services. โš–๏ธ

Security & Gateway

Secured inter-service traffic via API Gateway and Keycloak (JWT/M2M) for centralized OAuth2 authorization. ๐Ÿ”

Resilience & Observability

Integrated Resilience4j (Circuit Breakers) and Zipkin (Distributed Tracing) to ensure 99.9% fault tolerance. ๐Ÿ“ˆ

Data Pipeline

Designed an immutable ledger pipeline from Kafka to Amazon S3 for financial reconciliation and audit logging. ๐Ÿ“‚

Kafka Orchestrator

Kafka Failure Orchestrator ๐Ÿค–

AI-Driven Self-Healing Orchestrator.

GoPython (MCP)KafkaClaude AI
Microservices Architecture

Developed a high-performance event-driven ecosystem using Go (Gin) and Python (FastAPI), decoupled via Apache Kafka. ๐Ÿ—๏ธ

Autonomous Remediation

Engineered a "Self-Healing" loop utilizing an AI Decision Engine to automate failure analysis, reducing manual intervention for transient errors. ๐Ÿง 

Distributed Resilience

Implemented multi-stage recovery patterns (Retry/DLQ/Resolve) with Kafka Producers/Consumers, ensuring 100% data consistency. โš–๏ธ

Observability & UI

Built a real-time monitoring dashboard with Streamlit and PostgreSQL for live auditing of AI decisions and system health metrics. ๐Ÿ“Š

Cloud-Native DevOps

Optimized deployment using Docker Compose, orchestrating multi-container environments with persistent storage and health-check dependencies. ๐Ÿณ

Data Lake

Real-Time Data Lake ๐ŸŒŠ

Medallion Architecture & Automated ETL.

KafkaSpring BootAWS (S3, Glue, Athena)AirflowMetabase
Data Lake Architecture

Architected a Medallion (Bronze/Silver/Gold) storage layer on Amazon S3 for real-time Kafka event ingestion and curated analytics. ๐Ÿ—๏ธ

ETL Orchestration

Automated end-to-end data processing using Apache Airflow DAGs and AWS Glue, reducing manual intervention and streamlining workflows. โš™๏ธ

Serverless Analytics

Implemented AWS Athena for high-performance SQL querying on S3 and utilized CTAS queries for efficient data partitioning. ๐Ÿ“Š

Business Intelligence

Developed interactive BI dashboards in Metabase to visualize real-time KPIs for orders, payments, and user activity. ๐Ÿ“ˆ

Technical Arsenal ๐Ÿ› ๏ธ

Programming Languages

JavaPythonGoSQLJavascriptDartHTML5CSS3

Cloud & Big Data

AWS (EKS, EMR)Azure AISnowflakeKafkaSparkHadoopAirflow

Backend & API

Spring BootDropwizardJPARESTgRPC

Mobile & Web

FlutterSwiftReactTailwind

DevOps & Tools

DockerKubernetesJenkinsGitLinux

Core Engineering Concepts

Distributed SystemsSaga PatternLLD/HLDDesign PatternsMicroservices ArchitectureCI/CD PipelinesAlgorithms & DS

Testing & QA

SeleniumCypressJUnitMocking

Achievements ๐Ÿ†

Published Author ๐Ÿ“š

"How To Become a Pro in Java", ISBN: 979-8507025565. Sold 25+ copies across platforms. ๐Ÿ“–โœจ

Patent Holder ๐Ÿ“œ

Secured Smart Healthcare Ecosystem using Blockchain & IoT. ๐Ÿฅ๐Ÿ”

Professional Certifications ๐Ÿ“œ

Apple Certiport

Certified Swift App Developer ๐ŸŽ

Microsoft

Azure AI-900 Fundamentals โ˜๏ธ

Engineering

Certified in Java, Microservices, and Generative AI โ˜•๏ธ

Specializing in high-throughput architectures using Java (Spring Boot), Go, and Kafka. Patent holder in Blockchain & IoT. Focused on building the next generation of resilient distributed systems. ๐Ÿš€

Interest Area ๐Ÿ’ก