---
title: "Biswabarenya Tripathy - Associate Software Developer in Bengaluru | Tal"
description: "Meet Biswabarenya Tripathy, SRE and Cloud Engineer | ex-Oracle based in Bengaluru. AI stack includes anthropic apis, claude code, and cursor."
image: "https://tal.club/meet/biswabarenya-tripathy/share-image"
---

# Biswabarenya Tripathy on Tal

## Headline

SRE and Cloud Engineer \| ex\-Oracle

## About

Software Engineer focused on Site Reliability, cloud infrastructure and automation, with experience across Linux systems, networking, Kubernetes, AWS, infrastructure as code and observability\. I work where infrastructure, automation and reliability meet, building systems that are easy to deploy, easy to observe and quick to recover\. At Oracle, I was a Software Engineer on the Diameter Signal Routing team\. I built a modular Shell and Python automation framework that cut deployment and validation time from 2–3 days to about 3 hours through pipeline\-triggered execution\. I provisioned bare\-metal telecom servers \(VLANs, network bridging, system configuration\), automated large\-scale validation across 100\+ peer nodes and about 150K calls per run, and traced production CPU dips and I/O wait issues to their root cause\. Before that, as an intern on Oracle's OCI Data Intelligence team, I built Micronaut backend provisioning workflows and helped split a monolith into modular microservices\. Outside work, I build production\-style platforms end to end: A Kubernetes platform that simulates football match\-day traffic spikes and autoscales with HPA and KEDA\. It has Prometheus and Grafana observability, k6 load testing and an AI layer that turns alerts into plain\-language incident diagnoses\. A live AWS platform provisioned in Terraform \(VPC, multi\-AZ ALB, auto scaling, RDS\)\. It deploys through a keyless GitHub Actions pipeline using OIDC, with no long\-lived credentials\. Core areas I work in: \-Site Reliability Engineering & Observability \-Kubernetes & Autoscaling \(HPA, KEDA\) \-Cloud Infrastructure \(AWS, OCI\) \-Infrastructure as Code \(Terraform, Ansible\) \-CI/CD & Deployment Safety \-Linux Systems & Networking \-Automation & Toil Reduction \(Python, Shell\) \-Backend Services & APIs \(FastAPI, PostgreSQL\)

## Location

Bengaluru

## AI stack

anthropic apis

claude code

cursor

gemini

grok

githubcopilot

## Work experience

Associate Software Developer at Oracle, Jul 2025 \- Apr 2026 · 10 mos, Bengaluru, \- Automation and; CI/CD Pipelines: Designed and deployed a modular Shell \+ Python automation framework that reduced release deployment and validation time from 2–3 days to \~3 hours through pipeline\-triggered execution\. \- Bare\-Metal and; Network Provisioning: Provisioned enterprise bare\-metal telecom servers over SSH, configuring custom VLAN setups, network bridging, and system\-level parameters for large\-scale deployments\. \- Telecom Scenario and; Load Simulation: Automated multi\-node telecom scenario testing \(6 local nodes, 108 peer nodes, 432\+ active connections\) and high\-volume traffic simulations \(\~150K calls/run\) using Seagull and Flock \- Release Analytics: Programmed end\-to\-end scenario orchestration, pegstat metric validation, and automated log parsing to streamline pass/fail release analysis\. \- Root\-Cause Analysis \(RCA\) and; Performance Tuning: Diagnosed critical production CPU dips and high I/O wait times, tracing the root cause to qcow2 thin provisioning and synchronous disk write operations,

Project Intern at Oracle, Jan 2025 \- Jul 2025 · 7 mos, On\-site, \-Backend Orchestration: Developed Java/Micronaut backend workflows for OCI Analytics amp; ML provisioning, implementing API\-triggered, database\-backed async processing\. \-Microservices and Refactoring: Built REST API\-driven provisioning flows and refactored monolithic repos into modular microservices to improve CI/CD scalability\. \-Testing and Quality: Wrote unit tests using Mockito to ensure reliable microservice interactions and backend API logic

Intern at Central Tool Room & Training Centre \(MSME\) Government of India, Dec 2023 \- Jan 2024 · 2 mos, Bhubaneswar, During my work experience, I gained knowledge in machine learning models and their practical applications\. I engaged in several mini projects that provided hands\-on experience and deepened my understanding of the field\. Firstly, I developed a spam detection system using Naive Bayes, focusing on text preprocessing and feature extraction\. For the house pricing prediction project, I implemented linear regression and gradient boosting, ensuring data cleaning, normalization, and feature engineering were meticulously performed\. In another project, I created a handwritten digit recognition system using convolutional neural networks \(CNNs\), enhancing my skills in image processing and model tuning\. Additionally, I built a newspaper genre detector with support vector machines \(SVMs\), emphasizing text classification techniques\. Lastly, I developed a face detection system utilizing Haar cascades and deep learning models, concentrating on image preprocessing and real\-time detection\. Throughout these projects, I consistently applied data cleaning, normalization, and standardization techniques, ensuring robust and accurate models\. This experience significantly enhanced my proficiency in machine learning and practical deployment\.

## Education

Bachelor of Engineering \- BE, COMPUTER SCIENCE SPECIALISATION IN CYBER SECURITY, Manipal institute of technology

[View the original profile](https://tal.club/meet/biswabarenya-tripathy)

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