---
title: "Anjali S. - Network Engineer virtual in Mumbai | Tal"
description: "Meet Anjali S., -- based in Mumbai."
image: "https://tal.club/meet/anjali-s/share-image"
---

# Anjali S\. on Tal

## Headline

\-\-

## About

Cloud Engineer with a strong DevOps mindset, focused on building, automating, and operating scalable cloud\-native systems\. I specialize in infrastructure automation, CI/CD pipelines, and intelligent workflow orchestration using Agentic AI to reduce operational overhead and improve reliability\. My work spans cloud platforms, containerization, monitoring, and security\-aware deployments, with growing exposure to AIOps, DevSecOps, and applied AI engineering for real\-world infrastructure use cases\. I enjoy designing systems where automation, observability, and resilience are first\-class citizens\. Actively seeking Cloud / DevOps\-oriented roles where I can contribute to automation\-driven platforms and evolve toward AIOps, DevSecOps, and AI\-enabled infrastructure engineering\.

## Location

Mumbai

## Work experience

Network Engineer virtual at Zscaler, Apr 2026 \- May 2026 · 2 mos, • Worked with networking fundamentals including TCP/IP, DNS, routing, and firewall policies in simulated enterprise environments\. • Analyzed secure access workflows and supported basic network troubleshooting activities\. • Assisted in identifying connectivity and access control issues aligned with availability and security requirements\.

DevOps Engineer at TrainWithShubham \(TWS\), Jan 2026 \- Apr 2026 · 4 mos, • Supported cloud design and build activities by provisioning and managing AWS infrastructure \(EC2, S3, IAM, CloudWatch, RDS\) for production\-like environments\. • Monitored system availability against service expectations, assisting in incident identification, outage resolution, and service restoration\. • Automated deployment workflows using GitHub Actions, improving release reliability and reducing manual operational effort\. • Configured and administered Linux servers, performing troubleshooting to restore services during simulated production incidents\. • Documented operational procedures, recovery steps, and deployment standards to support continuity and knowledge transfer\.

AI\-ML Virtual internship at Google for Developers, Oct 2025 \- Dec 2025 · 3 mos, • Developed Python\-based data pipelines to process, validate and manage structured and unstructured datasets for analytics and ML workflows\. • Implemented data quality checks, validation logic, and retention practices to ensure the reliability of downstream systems\. • Automated recurring data preparation tasks, improving operational consistency and efficiency\. • Collaborated in a virtual team environment to analyze issues and communicate findings effectively\.

## Education

Master's Degree, Computational Science, Nagindas Khandwala College

Bachelor's Degree, Computer Science, University of Mumbai

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

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