We're looking for a Founding AWS Cloud Engineer to build the infrastructure behind Valerie's AI-native platform.

This is a 0→1 chance — no legacy systems, no existing architecture. You'll design and build our cloud infrastructure from the ground up, owning key decisions across AWS, DevSecOps, infrastructure automation, scalability, security, and reliability .

You'll work closely with Product, AI, and Engineering teams to turn current ideas into secure, scalable production systems.

What You'll Do
Design and build AWS infrastructure from the ground up
Own Infrastructure as Code, CI/CD, observability, and production reliability
Build secure, scalable, and resilient cloud architectures
Work with containers, distributed systems, and event-driven architectures
Build infrastructure supporting AI/ML and LLM workloads
Partner closely with engineering and product teams on technical decisions

What We're Looking For




Strong hands-on experience with AWS and production cloud infrastructure
Deep knowledge of services such as EC2, ECS, VPC, IAM, S3, RDS, CloudFront, Route 53, and CloudWatch
Strong experience with Terraform , Docker, and CI/CD
Solid understanding of Linux, networking, security, monitoring, and incident management
Experience building scalable distributed systems
Exposure to AI/ML infrastructure, LLMs, vector databases, or RAG systems
Robust ownership and ability to make architecture decisions independently

Bonus Points
Kubernetes / ECS
Kafka, Redis, SQS, EventBridge, or Lambda
Vector databases such as Pinecone, Qdrant, Weaviate, or pgvector
GPU infrastructure, MLOps, or AI inference
Experience building 0→1 products in an early-stage startup

📌 Aws Cloud Infrastructure Engineer Bangalore Metropolitan Area
🏢 Valerie Group
📍 Bangalore Metropolitan Area