---
title: "Harsh Dwivedi - Senior DevOps Engineer in Bengaluru | Tal"
description: "Meet Harsh Dwivedi, Senior DevOps Engineer at TADA based in Bengaluru. AI stack includes claude code, claude, and notion. Explore public work links including github."
image: "https://tal.club/meet/harsh-dwivedi-1/share-image"
---

# Harsh Dwivedi on Tal

## Headline

Senior DevOps Engineer at TADA

## About

Most platform teams scale by adding nodes and hoping nothing breaks\. I scale by making the system boring: predictable, observable, and cheap to run\. I currently support Kubernetes platforms running \~1,500 worker nodes, keeping them reliable enough that deployments are a non\-event — 10\+ non\-prod releases a day without drama\. I led a Jenkins\-to\-GitLab CI/CD migration that cut infrastructure cost and standardized how teams ship, and replaced ad\-hoc package pulls with a Verdaccio caching proxy that quietly saves \~$500/month\. My first question on any infra problem isn't "what do we add?" — it's "what can we remove or automate away?" Every manual step is a future incident, so I push fixes into Terraform, Terragrunt, and code rather than runbooks\. I optimize for the 2 AM version of myself: clear signals, safe fallbacks, and clean root\-cause trails\. Stack — Platforms: Kubernetes \(EKS/AKS\), Istio, Teleport\. Pipelines: GitLab, GitHub Actions, Jenkins, Azure\. Automation: Terraform, Terragrunt, Python, Shell\. Practice: SRE, incident response, cost optimization\. Scaling a Kubernetes platform and want a second opinion on reliability or cost? Happy to chat — I'm open to remote DevOps/SRE/Platform roles with US teams\.

## Location

Bengaluru

## AI stack

claude code

claude

notion

openai

## Work experience

Senior DevOps Engineer at TADA, Aug 2026 \- Present · 2 mos, Bengaluru

DevOps Engineer at MasterControl, Jun 2025 \- Aug 2026 · 1 yr 3 mos, Hyderabad, • Supported Kubernetes platforms operating at scale across approximately 1,500 worker nodes, maintaining platform reliability, availability, and operational excellence\. • Designed and supported Kubernetes networking solutions utilizing Istio service mesh, Elastic Load Balancers, ingress controllers, service discovery, and traffic routing\. • Implemented Kubernetes scheduling policies using taints, tolerations, and workload placement strategies to optimize cluster resource utilization\. • Led migration of CI/CD workloads from Jenkins to GitLab, improving automation, standardization, and operational efficiency while reducing infrastructure costs\. • Served as a member of the Engineering Operations team responsible for designing, provisioning, and maintaining cloud infrastructure, developer platforms, and production services\. • Automated infrastructure provisioning and operational workflows using Terraform, Terragrunt, Python, and Shell scripting to reduce manual effort and improve engineering efficiency\. • Implemented Verdaccio proxy\-based package caching solution reducing dependency retrieval overhead and generating approximately $500 per month in infrastructure cost savings\. • Managed Teleport access gateways providing secure access to Kubernetes clusters, cloud environments, and databases supporting operational troubleshooting activities\. • Supported high\-frequency deployment operations with 10\+ daily non\-production releases while maintaining platform stability and operational readiness\. • Participated in production incident response, root cause analysis, platform troubleshooting, and reliability improvement initiatives across Kubernetes\-based environments\. • Leveraged AI\-assisted engineering workflows and automation techniques to improve operational efficiency and developer productivity\.

DevOps Engineer at Randstad Digital, Oct 2024 \- Jun 2025 · 9 mos, Gurugram, Owned CI/CD pipelines for 50\+ services across dev and production in Azure DevOps, working directly with pharma clients including J&J and Pfizer\. • Cut build times \~40% and infrastructure costs \~20% by introducing cost\-efficient tooling such as Dataiku • Managed 50\+ services end to end across GitHub Actions, Azure Pipelines, and Jenkins, with deployments to ECS and EKS • Partnered with regulated pharma clients to deliver reliable, compliant deployment workflows

Cloud DevOps Engineer at ShipBob, Mar 2023 \- Jan 2024 · 11 mos, Noida, First DevOps role at a fast\-moving startup, where I owned CI/CD on AWS and Azure and partnered directly with clients on system design and reliability\. • Reduced application latency by \~40% by adding AWS Availability Zones and deploying region\-specific infrastructure close to clients \(e\.g\., Singapore\) • Containerized applications with Docker and ran them on EKS/AKS, configured for auto\-scaling and auto\-healing • Joined client support calls to diagnose issues and improve system design, turning customer feedback into infrastructure improvements

AWS DevOps Engineer at Amazon, Oct 2018 \- Dec 2022 · 4 yrs 3 mos, Delhi, India, Owned dev and staging \(non\-production\) environments across 7 AWS regions spanning the US, Europe, and Asia, supporting global engineering teams on a weekly sprint and promotion cycle\. • Drove AWS cost efficiency by \~30% through ongoing architecture reviews and right\-sizing across services • Managed weekly promotion cycles, keeping non\-production environments stable and release\-ready for distributed teams • Operated and maintained infrastructure at multi\-region scale, building the production judgment that underpins my work today

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, GLA University

## Public links

- github: https://github\.com/harid1023

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

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