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

Alpha-Tx Solutions LLC; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

A pioneering AI company in New York is seeking a Backend Platform Engineer with expertise in Python and infrastructure engineering. The role involves architecting resilient backend systems and contributing to cutting-edge AI platforms. Candidates should have 5 to 10 years of experience, particularly in regulated industries. The ideal candidate is motivated by the potential of joining a high-growth company and will mentor others while optimizing Kubernetes and AWS infrastructures.

Qualifications

• 5 to 10 years of backend and infrastructure engineering experience.
• Proven track record in startups scaling from 110.
• Clear motivation for joining an early-stage, high-growth AI company.

Responsibilities

• Architect and implement backend infrastructure for AI platforms.
• Build BYOC and Multi-Single Tenant capabilities.
• Develop features for large-scale SaaS/AI deployments.
• Maintain and optimize Kubernetes, AWS, Terraform, and CI/CD systems.
• Collaborate with frontend, product, and security teams.
• Mentor engineers and establish best practices.

Skills

Backend and infrastructure engineering

Python

TypeScript

React

Next.js

AppSec and cybersecurity fundamentals

CI/CD pipelines

Kubernetes

AWS

Tools

Terraform

Helm Charts

PostgreSQL

vector databases

Job description

About the job 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
• 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:

• 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).