About Forage AI

Forage AI builds next-generation systems for large-scale data collection, processing, and automation. Our platforms handle web crawling, document parsing, distributed data pipelines, and AI-driven data systems.
Our stack is primarily Python and cloud-native infrastructure on AWS, with exposure to GCP and Azure. We emphasize reliable infrastructure, scalable architecture, and strong engineering practices. Increasingly, we are integrating GenAI and AI agents into our systems.
We operate in a high-ownership setting, where engineers are responsible not only for building systems but also ensuring they are reliable, scalable, and production ready.
Location: Remote (Work from Home)

Role Overview
We are looking for a DevOps Engineer with strong software engineering capabilities. This role focuses on designing and operating cloud infrastructure, CI/CD systems, deployment automation, and observability platforms, while also writing production-grade automation and platform tooling in Python. You will work closely with developers to build reliable, scalable,



and secure infrastructure that powers large-scale data processing systems. This role requires someone who can think like both an infrastructure engineer and a software engineer.
Salary up to Rs. 9 LPA depending on your technical interview

Key Responsibilities:

Cloud Infrastructure & System Design
- Design and manage scalable cloud infrastructure primarily on AWS
- Architect systems using services such as EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, SQS/SNS, CloudWatch
- Design cloud-native architectures that are resilient, scalable, and cost efficient.
- Build systems that remain cloud agnostic where possible.

CI/CD & Deployment Automation
- Build and maintain CI/CD pipelines for automated testing, build, and deployment. Improve deployment reliability and speed through automation and release strategies
- Implement blue-green, rolling, and canary deployments.

Infrastructure as Code
- Manage infrastructur

📌 DevOps Engineer (Sangli)
🏢 Forage AI
📍 Sangli