AWS Cloud Infrastructure Engineer [Mar-tech]

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

This is a 0→1 opportunity — 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 new 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
• Strong 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