Backend Platform Engineer - Cloud & Infrastructure (Python, AWS, Kubernetes)

About the company: 

One of our prestigious client is on a mission to harness frontier AI for teams building a better future. With $10M in funding and a team that has seen 5 IPOs and built 3 unicorns, Credal has created the most secure, high-performance Action & Agent platform for custom AI workflows in regulated, high-stakes industries. Customers are expanding contracts by an average of 70% YoY, driving 170% NRR. This is a rare opportunity to be a founding engineer at a hypergrowth AI company.

Roles and Responsibilities:

• Architect and implement backend infrastructure for secure, scalable AI platforms
• Build BYOC (Bring Your Own Cloud) and Multi-Single Tenant capabilities for regulated enterprise environments
• Develop features and integrations for large-scale SaaS/AI deployments
• Maintain and optimize Kubernetes, AWS, Terraform, Helm Charts, PostgreSQL, vector databases, and CI/CD systems (Argo/Flux)
• Collaborate closely with frontend, product, and security teams to ship production features quickly and securely
• Mentor engineers and establish best practices for backend and infrastructure development

Job Requirements:

• 5 to 10 years of backend and infrastructure engineering experience
• Proven track record in startups scaling from 110, ideally in regulated industries (healthcare, fintech, government)
• Proficient in Python, TypeScript, React, Next.js
• Deep cloud infrastructure experience (AWS, Kubernetes, Terraform, Helm)
• Strong database skills (PostgreSQL, vector DBs)
• AppSec and cybersecurity fundamentals baked into engineering approach
• Experience with CI/CD pipelines (Argo, Flux)
• Clear motivation for joining an early-stage, high-growth AI company

Interview Process:

• Recruiter / Leadership Intro
• Technical Screen
• Take-home or Whiteboard Tech Challenge
• Final Onsite / Deep Technical & Cultural Fit

Not Required:

• Visa Candidates
• C2C Candidates
• Job Hoppers (frequent short stints in roles).
• Graduates from Coding Bootcamps (e.g., Full Stack Academy, Hack Reactor).
• Consulting Backgrounds (Experience at IT software development firms instead of actual product companies).