Remote: Remote

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 environment, 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 interviewKey Responsibilities:Cloud Infrastructure & System DesignDesign and manage scalable cloud infrastructure primarily on AWSArchitect systems using services such as EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, SQS/SNS, CloudWatchDesign cloud-native architectures that are resilient, scalable, and cost efficient.Build systems that remain cloud agnostic where possible.CI/CD & Deployment AutomationBuild and maintain CI/CD pipelines for automated testing,



build, and deployment. Improve deployment reliability and speed through automation and release strategiesImplement blue-green, rolling, and canary deployments.Infrastructure as CodeManage infrastructure using Terraform, CloudFormation, or similar toolsAutomate infrastructure provisioning and environment setup.Platform Engineering & Developer ProductivityBuild internal tools and automation scripts in Python to improve developer workflows.Create standardized deployment frameworks for applications and servicesSupport development teams with infrastructure design and operational best practices.Observability & ReliabilityImplement logging, monitoring, alerting, and tracing systems.Maintain system reliability through proactive monitoring and incident response.Define and monitor SLOs, SLAs, and system health metrics.Security & Best PracticesImplement security best practices including IAM policies, secrets management, and least-privilege access.Ensure infrastructure and deployments follow secure and compliant patterns.CollaborationWork closely with software engineers, QA teams, and data engineers. Participate in architecture discussions and infrastructure design reviews.Required Qualifications3-5 years of experience in DevOps, infrastructure engineering, or backend platform engineering.



Robust experience with AWS cloud infrastructure.Hands-on experience with CI/CD systems (GitHub Actions, Jenkins, GitLab CI, etc.).Experience with containerization technologies such as Docker.Exposure to container orchestration platforms such as Kubernetes or ECS.Strong scripting/programming skills in Python & amp; SQL.Experience with Linux systems and networking fundamentals.Understanding of distributed systems and microservices architectures.Solid experience with Git and modern development workflows.Preferred / Good to Have (Prioritized)Infrastructure & amp; DevOps Infrastructure as Code using Terraform or Cloud FormationExperience running Kubernetes clusters in production.Experience with AWS cost optimization and scaling strategiesData PlatformsExposure to data pipelines and distributed data systemsExperience with Airflow, Kafka, Spark, or large-scale ETL Workflows.Observability & ReliabilityExperience with Prometheus, Grafana, ELK stack , or Datadog Multi-CloudExperience with GCP or AzureGenAI / AI Infrastructure Experience building infrastructure for LLM pipelines, vector databases, or AI systemsHow We Work: Engineers own systems end-to-end: design → build → deploy → operateStrong emphasis on automation, reliability, and observability.Incremental delivery through small pull requests and clear design discussionsCollaborative culture with high ownership and accountability.Work‑from‑Home RequirementsHigh‑speed internet for calls and collaboration.A capable, reliable computer (modern CPU, 16GB+ RAM).Headphones with clear audio quality. Stable power and back up arrangements.Forage AI is an equal opportunity employer. We value curiosity, craftsmanship, and collaboration.

📌 DevOps Engineer (Gandhinagar)
🏢 Forage AI
📍 Gandhinagar