Founding Cloud Infrastructure Engineer (AI Platform)

Overview

Build and scale AWS cloud infrastructure for an AI-native platform from the ground up. Own architecture, automation, security, observability, and production reliability while partnering with Product, AI, and Engineering teams.

What you'll do

• Design and build secure, scalable AWS infrastructure from scratch.
• Develop Infrastructure as Code and CI/CD pipelines.
• Build distributed systems and event-driven architectures.
• Implement observability, monitoring, debugging, and incident management.
• Support AI and machine learning infrastructure, including LLM workloads and retrieval-based systems.
• Make technical architecture decisions and explain trade-offs to stakeholders.

What you'll need

• Hands-on experience managing production infrastructure on AWS.
• Knowledge of EC2, ECS, VPC, IAM, S3, RDS, Route 53, CloudFront, CloudWatch, and Load Balancers.
• Experience with Terraform or AWS CloudFormation.
• Experience with Docker, containerized environments, and CI/CD pipelines.
• Understanding of Linux, networking, monitoring, debugging, and production incident management.
• Experience with cloud security, IAM policies, secrets management, and security best practices.
• Experience supporting AI or machine learning infrastructure.

Nice to have

• Experience with Kubernetes, Amazon ECS, or large-scale container orchestration.
• Familiarity with Lambda, EventBridge, or Step Functions.
• Experience with Redis, Kafka, SQS, or other messaging and caching systems.
• Experience with LangChain, LangGraph, or LlamaIndex.
• Experience with Pinecone, Weaviate, Qdrant, or pgvector.
• Experience with GPU infrastructure, MLOps, or AI inference systems.
• Experience at an early-stage startup or building products from zero to one.

Details

• Remote in India.