---
title: "Jeya Nishwanth J. - Member of Technical Staff in Bengaluru | Tal"
description: "Meet Jeya Nishwanth J., Backend Engineer (Ex-Oracle Cloud Infrastructure) | Java & Spring Boot Microservices | Distributed Systems | Kubernetes & Cloud | AI Agentic Workflows | Cloud & AI Infrastructure based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links..."
image: "https://tal.club/meet/jeya-nishwanth-j/share-image"
---

# Jeya Nishwanth J\. on Tal

## Headline

Backend Engineer \(Ex\-Oracle Cloud Infrastructure\) \| Java & Spring Boot Microservices \| Distributed Systems \| Kubernetes & Cloud \| AI Agentic Workflows \| Cloud & AI Infrastructure

## About

Backend Engineer with 2\.5\+ years of experience building large\-scale cloud infrastructure and distributed backend systems at Oracle Cloud Infrastructure \(OCI\)\. I work on microservices, cloud\-native platforms, and AI Ops systems powering compute orchestration and operational automation\. At OCI, I design and develop scalable backend services and REST APIs used for infrastructure administration and automation workflows\. My work includes building Agentic AI\-driven systems for self\-healing and root\-cause analysis, improving operational reliability across production environments\. My core expertise includes: • Java, Spring Boot, Microservices architecture • Distributed systems and system design • Kubernetes, Docker, and cloud\-native deployments • Event\-driven systems using Kafka and Redis • Cloud platforms: OCI and AWS • Python & FastAPI for AI\-enabled services I enjoy working on complex backend problems involving scalability, reliability, and platform engineering, and I’m particularly interested in infrastructure systems and AI\-enabled backend architectures\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

mcp

ollama

LlamaIndex

## Work experience

Member of Technical Staff at Oracle, Jul 2023 \- Oct 2025 · 2 y 3 mo, Bengaluru, Karnataka, India, Architected the backend microservice for OCI AI Ops using Java and Micronaut, deploying onto Oracle’s managed Kubernetes \(OKE\) with Helm charts and automated scaling for production reliability\. Developed Java\-based event processors for an agentic AI pipeline handling 500\+ automated infrastructure tickets daily, consuming real\-time canary alerts via a managed message queue\. Implemented dynamic context injection for LLM inferencing \(Llama 3\.1 via OCI GenAI\), mapping infrastructure alerts to domain\-specific runbooks in Object Storage to generate automated mitigation steps\. Developed an LLM\-based automated QA workflow to evaluate resolved support ticket quality, curating a high\-quality dataset to predict resolutions for novel issues\. Engineered a batched\-parallel compute API automating fleet\-wide health checks and repair calls to hypervisors, reducing server rack maintenance time by 70%\. Built Python production canaries with Pydantic data validation and Pytest suites\. Containerized via Docker/OCIR with Terraform provisioning and telemetry\-driven monitoring alarms\.

Intern at Oracle, Jun 2022 \- Jul 2022 · 2 mos, Cloud Capacity Management

## Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, National Institute of Technology, Tiruchirappalli

Maharishi International Residential School

## Public links

- github: https://github\.com/jnishwanth

[View the original profile](https://tal.club/meet/jeya-nishwanth-j)

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