---
title: "Rahul Jindal - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Rahul Jindal, Backend Engineer (Ex-Barclays)| Java · Spring Boot · Python · JS(React/Node)· AWS · Kubernetes · Kafka · Terraform · Docker | GenAI Integration · Agentic AI Workflows | DevOps · Observability | SIH Hackathon Winner based in Bengaluru. AI stack includes anthropic apis, claude code..."
image: "https://tal.club/meet/rahul-jindal-1/share-image"
---

# Rahul Jindal on Tal

## Headline

Backend Engineer \(Ex\-Barclays\)\| Java · Spring Boot · Python · JS\(React/Node\)· AWS · Kubernetes · Kafka · Terraform · Docker \| GenAI Integration · Agentic AI Workflows \| DevOps · Observability \| SIH Hackathon Winner

## About

I build the backend layer that doesn't break under pressure\. Building distributed systems that handle telecom\-scale workloads — 10M\+ events/day, 250GB/day ETL pipelines, 50ms p95 latency at production\. My work spans high\-throughput microservices, Kafka\-based event pipelines, Kubernetes deployments, and SLO\-driven observability — all battle\-tested on Tier\-1 telecom infrastructure\. I own things end\-to\-end: from API design and database tuning to CI/CD automation and cost optimization \($15K/month saved via ClickHouse migration\)\. What makes me different right now: I'm at the Backend × GenAI intersection — building agentic AI workflows, integrating LLM APIs into existing microservice architectures, and designing backend infrastructure for RAG pipelines and multi\-agent orchestration using Spring AI, LangChain4j, and MCP\. As companies go AI\-native, I'm building the reliable backend layer those systems run on\. Core Stack: Java · Spring Boot · Hibernate · Python · Javascript React · Node\.js · Kafka · Kubernetes/OpenShift · AWS · Docker · Terraform · PostgreSQL · ClickHouse · Couchbase · Prometheus/Grafana · CI/CD · OpenAPI AI Layer: Agentic AI · LLM API Integration · MCP · Spring AI · LangChain4j · RAG Pipelines 🎓 B\.E\. Information Science — BMSCE Bangalore 🏆 Mobileum Achievers Award 2026 \| AWS Certified DevOps Engineer – Professional \| Oracle Certified Java Developer 📍 Bangalore · Open to SDE\-2 / SDE\-3 roles at product companies building hard backend or AI\-infrastructure problems 📩 Referrals and conversations welcome — DM me directly\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

github copilot

langchain

mcp

Pinecone

## Work experience

Software Engineer 2 at WEX, Sep 2026 \- Present · 1 mo, Bengaluru

Software Engineer at Mobileum, Aug 2025 \- Present · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid, • Owned backend services for routing/configuration workflows \(tens of millions of events/day\); improved production readiness via SLO monitoring, safe rollouts, and incident playbooks\. • Optimized Couchbase upsert\-heavy APIs by reducing DB round\-trips and tuning N1QL queries/indexes; achieved \~50ms typical latency under JMeter load\. • Reduced Oracle load and improved tail latency via query/index tuning, batching, and connection\-pool right\-sizing; validated via before/after baselines and JVM triage \(e\.g\., jstack during spikes\)\. • Hardened customer\-facing endpoints using AWS API Gateway \+ WAF \(throttling/filtering\) with consistent error contracts; documented via Swagger/OpenAPI to speed integrations\. • Built CI/CD with Jenkins \+ Maven to publish container images and deploy to Kubernetes/OpenShift using Helm \(rolling/canary \+ rollback checks\), reducing deployment incidents\.

Associate Software Engineer at Mobileum, Aug 2023 \- Aug 2025 · 2 yrs 1 mo, Bengaluru, Karnataka, India · Hybrid, • Built ETL pipelines ingesting and aggregating \~250GB/day of telecom logs \(\~1M logs/min avg\) for customer reporting and operational analytics\. • Improved analytical performance by shifting workloads from Postgres to ClickHouse/Hive; delivered 3–5× faster queries and more predictable reporting SLAs\. • Increased ingestion throughput by optimizing Postgres writes \(UPSERT, small\-batch inserts\), using temp tables for aggregation, and tuning Postgres parameters\. • Reduced end\-to\-end ETL latency by introducing Kafka\-based streaming stages using consumer groups, controlled retries \+ DLQ, and idempotent upserts \(at\-least\-once processing\)\.

Software Engineer Intern at Barclays, Mar 2023 \- Aug 2023 · 6 mos, Bengaluru, • Developed Java backend components for an internal workflow engine with testable business rules and fault\-tolerant execution patterns \(timeouts/retries\)\. • Improved relational query performance via indexing and query tuning; validated via repeatable benchmarks\. • Containerized services using Docker and improved build reproducibility via CI packaging\.

## Education

Bachelor of Engineering \- BE, Computer Science, B\. M\. S\. College of Engineering

## Public links

- github: https://github\.com/rahulj2712
- codeforces: https://codeforces\.com/profile/rahul\_81

[View the original profile](https://tal.club/meet/rahul-jindal-1)

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