Cloud Engineer [Founding]

Overview

We are looking for a visionary AWS Cloud Engineer to serve as the primary architect and builder of our technology foundation. This is a "Greenfield" project: there is no legacy code, no existing infrastructure, and no technical debt. You will be responsible for designing and deploying the entire AWS ecosystem for an advanced AI-Tech and Mar-Tech product from the ground up.

The ideal candidate thrives in ambiguity and has the technical depth to bridge high-scale data engineering with cutting-edge Generative AI deployment.

Accountabilities

• Architect and deploy scalable infrastructure on AWS (EC2, S3, RDS, Lambda, etc.)

• Design and implement the foundational data layer (data ingestion → transformation → usage)

• Build core infrastructure from scratch, not iterate on existing systems

• Translate high-level direction into technical structure, flows, and working products

• Work across functions (product, data, AI) to ensure systems are connected, not siloed

• Make independent technical decisions in an environment where requirements are incomplete or evolving

• Contribute to building internal tools, AI-enabled workflows, and automation layers

• Continuously refine and improve system design based on real usage, not theoretical perfection

• You are willing and able to contribute and collaborate with Product Team members on the development of AI Agents and Valerie's Brands and Investment Growth Platform.

• More specifically, contribute to prompt engineering that will augment services so we can do more, do better for entrepreneurs.

Ideal Behaviour, Qualifications & Skills

Core AWS & System Design

• 3–6 years of hands-on experience with AWS across compute, storage, and networking

• Strong understanding of distributed systems and scalable system design

• Proven ability to translate high-level product ideas into robust technical architecture

Zero-to-One Ownership

• Demonstrated experience building and launching production-grade cloud infrastructure from scratch (0→1 systems)

• Comfortable operating in ambiguity and making foundational architecture decisions

Infrastructure & Data Engineering

• Advanced proficiency in Infrastructure as Code (Terraform or CloudFormation)

• Experience designing, building, and maintaining scalable data pipelines

• Hands-on experience working with high-volume data systems and storage layers

Modern Cloud & AI Systems

• Experience deploying or supporting AI/ML systems through structured data pipelines

• Familiarity with vector databases (e.g., OpenSearch, Pinecone) and RAG-based architectures

• Strong understanding of containerized environments (EKS/ECS) for compute-heavy workloads

Observability & Performance

• Experience implementing monitoring and observability using tools like CloudWatch, X-Ray, Prometheus, or Grafana

• Understanding of system performance tuning and reliability best practices

Good to Have

• Experience working in early-stage startups or fast-moving 0→1 environments

• Familiarity with event-driven architectures and messaging systems (Kafka, etc.)

• Understanding of cloud cost optimization and resource efficiency

Why This Role?

You aren't just maintaining a system; you are the author of it. You will have total technical agency over the stack, choosing the tools and patterns that will define our product’s success for years to come.