Cloud-Native Python Full-Stack Lead

MACHINE LEARNING TECHNOLOGIES LLC; Los Angeles (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Python Full Stack Lead in Los Angeles to drive cloud-native microservice architecture and front-end integration. You will design scalable, secure systems, lead distributed teams, and translate business requirements into production-ready solutions.

The role emphasizes Python backend, React/TypeScript frontend, and strong cloud platform expertise (AWS/Azure/GCP). Experience in eCommerce domains and composable components is a plus.

Qualifications

• Experience leading Python full-stack projects or teams.
• Strong background in cloud-native architectures and microservices.
• Hands-on with React and TypeScript front-end integration with back-end services.

Responsibilities

• Design cloud-native microservices with Python and DDD.
• Define API contracts, data ownership, and integration patterns.
• Design REST/gRPC APIs, API gateways, auth, versioning, and resilience.
• Implement event-driven architectures using Kafka or cloud-native messaging.
• Apply distributed-systems patterns like Saga, CQRS, Outbox, and Circuit Breaker.
• Design scalable infra using Docker, Kubernetes, and serverless/cloud services.
• Ensure security via IAM, OAuth2/OIDC, JWT, and secret management.
• Set front-end architecture standards for React/TypeScript and BFF layers.
• Experience with eCommerce domain and composable packages is a plus.

Skills

Python

React

TypeScript

Distributed systems

DDD

API design

Security

Kubernetes

Docker

Tools

Kafka

REST APIs

GraphQL

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Python Full Stack Lead in Los Angeles to drive cloud-native microservice architecture and front-end integration. You will design scalable, secure systems, lead distributed teams, and translate business requirements into production-ready solutions.

The role emphasizes Python backend, React/TypeScript frontend, and strong cloud platform expertise (AWS/Azure/GCP). Experience in eCommerce domains and composable components is a plus.