We’re looking for a founding AWS DevSecOps engineer who will act as the primary architect and builder of our entire technology foundation.

This is a true Greenfield opportunity, no legacy systems, no constraints, no existing infra. You will design and build everything from scratch for an AI-driven product at the intersection of MarTech and advanced data systems.

This role is for someone who thrives in ambiguity, takes ownership, and can bridge cloud infrastructure, data pipelines, and AI systems into one cohesive platform.

What You’ll Own

Architect and deploy scalable, secure AWS infrastructure (EC2, S3, RDS, Lambda, VPC, IAM)
Design and build the end-to-end data layer (ingestion → processing → storage → usage)
Build 0→1 systems from scratch, making foundational architectural decisions
Translate high-level product ideas into working systems, data flows, and infrastructure
Work across product, data, and AI teams to ensure systems are integrated, not siloed
Build and automate CI/CD, internal tooling, and AI-enabled workflows
Enable and support AI/ML systems in production, including data pipelines and infra
Make independent technical decisions in an environment with evolving requirements
Continuously improve systems based on real usage, scale, and constraints — not theory
Contribute to AI agents, prompt workflows, and product-level automation use cases

What We’re Looking For

AWS & System Design

5+ years of hands-on experience building on AWS
Strong understanding of distributed systems and scalable architecture
Ability to translate ambiguous requirements into clear technical systems
AWS Certification (Solutions Architect / DevOps Engineer) is required

0 → 1 Ownership

Proven experience building production systems from scratch
Comfortable operating with high ownership and low structure
Strong decision-making ability under uncertainty and evolving requirements

Infrastructure & Data Engineering

Strong experience with Infrastructure as Code (Terraform required)
Experience designing and building data pipelines and data flows
Hands-on with high-volume systems, storage layers, and data processing

AI & Modern Cloud Stack

Experience working with or supporting AI/ML systems in production
Familiarity with RAG architectures, vector databases (OpenSearch, Pinecone, etc.)
Strong understanding of containerized environments (EKS/ECS, Docker)

Observability & Reliability

Experience implementing monitoring using CloudWatch, Prometheus, Grafana
Strong understanding of performance optimization, scaling, and system reliability

This is a role for someone who wants to build something from zero, not optimize what already exists.

Valerie Group

New Jobs

Cloud Engineer - AWS [Founding]