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Software Engineer with 4+ years of experience building Java/Spring Boot microservices, Kafka-based event-driven pipelines, and cloud-native systems at enterprise scale. I’ve delivered high-throughput backend services on AWS and Azure, processing millions of events daily across distributed architectures. I also integrate AI/LLM workflows using Amazon Bedrock and build operational tooling in Python (FastAPI) to improve observability, debugging, and recovery. Comfortable across the stack with React/TypeScript, containerization (Docker/Kubernetes/Helm), CI/CD, and production-grade monitoring and zero-downtime deployments.…Software Engineer with 4+ years of experience building Java/Spring Boot microservices, Kafka-based event-driven pipelines, and cloud-native systems at enterprise scale. I’ve delivered high-throughput backend services on AWS and Azure, processing millions of events daily across distributed architectures. I also integrate AI/LLM workflows using Amazon Bedrock and build operational tooling in Python (FastAPI) to improve observability, debugging, and recovery. Comfortable across the stack with React/TypeScript, containerization (Docker/Kubernetes/Helm), CI/CD, and production-grade monitoring and zero-downtime deployments.

Sai Chakradhar Mattaparthi

Back-End Developer, Full Stack Developer, DevOps Developer, +1

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Software Engineer with 4+ years of experience building Java/Spring Boot microservices, Kafka-based event-driven pipelines, and cloud-native systems at enterprise scale. I’ve delivered high-throughput backend services on AWS and Azure, processing millions of events daily across distributed architectures. I also integrate AI/LLM workflows using Amazon Bedrock and build operational tooling in Python (FastAPI) to improve observability, debugging, and recovery. Comfortable across the stack with React/TypeScript, containerization (Docker/Kubernetes/Helm), CI/CD, and production-grade monitoring and zero-downtime deployments.…Software Engineer with 4+ years of experience building Java/Spring Boot microservices, Kafka-based event-driven pipelines, and cloud-native systems at enterprise scale. I’ve delivered high-throughput backend services on AWS and Azure, processing millions of events daily across distributed architectures. I also integrate AI/LLM workflows using Amazon Bedrock and build operational tooling in Python (FastAPI) to improve observability, debugging, and recovery. Comfortable across the stack with React/TypeScript, containerization (Docker/Kubernetes/Helm), CI/CD, and production-grade monitoring and zero-downtime deployments.

Available to hire

Software Engineer with 4+ years of experience building Java/Spring Boot microservices, Kafka-based event-driven pipelines, and cloud-native systems at enterprise scale. I’ve delivered high-throughput backend services on AWS and Azure, processing millions of events daily across distributed architectures.

I also integrate AI/LLM workflows using Amazon Bedrock and build operational tooling in Python (FastAPI) to improve observability, debugging, and recovery. Comfortable across the stack with React/TypeScript, containerization (Docker/Kubernetes/Helm), CI/CD, and production-grade monitoring and zero-downtime deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Javanese

Advanced

Work Experience

Software Engineer at Box

January 1, 2025 - Present

Built Java 21, Spring Boot, and Apache Kafka consumer microservices for an event-driven metadata indexing pipeline, processing millions of daily Kafka events across thousands of enterprise tenants. Reduced indexing latency from 8–15 minutes to under 30 seconds (p95). Designed high-reliability messaging using Redis for dead-letter queue (DLQ) tracking, exponential backoff retries, and idempotency caching to prevent message loss during rebalances and outages. Developed Python FastAPI operational APIs using Kafka Admin Client for offset lag inspection, DLQ monitoring, and event replay to improve observability and recovery workflows. Integrated AI-driven document classification/entity extraction using Amazon Bedrock and LLM-based NLP pipelines to automate tagging and improve search relevance by 25%. Deployed microservices with Docker, Kubernetes (AWS EKS), and Helm, leveraging Datadog monitoring, distributed tracing, JUnit/Testcontainers, and CI/CD pipelines for scalable, real-time produ

Software Engineer at Cyient

August 1, 2020 - November 30, 2023

Developed Java 11/Java 17 Spring Boot microservices for telecom fault management systems, processing 400K+ daily SNMP alarm events. Built adapter services for Nokia and Huawei alarms to normalize data for downstream correlation platforms. Implemented REST APIs using Spring Web MVC with filtering, pagination, sorting, and alarm acknowledgment endpoints for NOC teams to manage 75K+ network nodes. Built full-stack features with React/TypeScript (e.g., real-time alarm dashboards, telemetry visualization, and document management interfaces) for telecom monitoring and aerospace workflows. Deployed containerized services on Kubernetes (Azure AKS) with Helm, ConfigMaps/Secrets, and Azure Key Vault for secure multi-environment deployments. Implemented event-driven pipelines using Kafka (MSK), RabbitMQ, MQTT, and Redis caching to ingest 1.6M+ daily IoT telemetry readings and implemented threshold-based alerting to reduce false positives by 70%. Built cloud-integrated storage services using Azure