Remote Platform Engineer Jobs in India
Find remote platform engineer jobs in India. Browse flexible work-from-home platform engineer positions from companies hiring in India. Start your remote career today.
PowerPlatform Developer
Power Platform Developer building, customizing, and configuring solutions on Microsoft’s Power Platform. Collaborating with teams to enhance applications with JavaScript, React, and C#.
Platform Engineer I
Platform Engineer I assisting in the support of AWS Cloud Infrastructure for CSG. Responsible for application infrastructure, troubleshooting, and collaborating with development teams.
Platform Engineer II
Platform Engineer II role assisting in AWS Cloud Infrastructure and application management. Collaborating with product teams for releases, troubleshooting, and implementing solutions.
AI Platform Engineer
AI Platform Engineer optimizing AI/ML infrastructure and workflows at AHEAD. Collaborating with data scientists to build scalable environments for ML models.
Copilot Studio, PowerPlatform Developer
Copilot Studio & Power Platform Developer designing AI-driven business solutions for Hummingbird in Bangalore, Karnataka. Focusing on Microsoft Copilot Studio, PowerApps, and Power Automate.
Senior Platform Engineer
Senior Platform Engineer designing scalable infrastructure and improving CI/CD pipelines at Justlife. Collaborate across teams to enhance platform reliability in a growing tech startup in Dubai.
Senior Cloud Data Platform Engineer
Senior Cloud & Infra Data Engineer at EY managing cloud infrastructure and database operations for modernization projects. Building data ingestion pipelines and automating workflows in cloud environments.
Senior Platform Engineer – Encompass
Platform Engineer Senior role at CSG automating deployment workflows and integrating systems for efficiency. Collaborating with teams to enhance platform solutions and writing automation scripts.
AI Platform Engineer – ML Ops
AI Platform Engineer at Toku managing MLOps pipelines and deploying AI systems. Focusing on cloud-native AI workloads with strong collaboration across engineering teams.