Cloud-Native Python Full-Stack Lead - Microservices (AWS)

Machine Learning Technologies, LLC

Los Angeles (CA)

On-site

USD 180,000 - 260,000

Full time

12 hours ago
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Job summary

Machine Learning Technologies, LLC is seeking a Python Fullstack Lead with deep expertise in Python, distributed systems, cloud-native architectures, and microservices. The candidate translates business requirements into scalable, secure, production-ready designs and guides both backend and frontend architecture.

You will design cloud-native microservices, REST/gRPC APIs, and frontend integration with React and TypeScript, steering implementation across teams.

Qualifications

  • Strong expertise in Python and distributed systems.
  • Experience designing cloud-native architectures and microservices.
  • Hands-on React and TypeScript for front-end guidance and integration.

Responsibilities

  • Design cloud-native microservices using Python and DDD.
  • Define architecture standards, API contracts, and service interactions.
  • Design REST/gRPC APIs, API gateways, authentication, versioning, and backwards compatibility.
  • Design event-driven architectures using Kafka or cloud messaging services.
  • Apply distributed-systems patterns (Saga, CQRS, Outbox, Circuit Breaker, Retry/Backoff).
  • Design scalable solutions with Docker, Kubernetes, serverless, and managed cloud services.
  • Ensure security with IAM/RBAC, OAuth2/OIDC, JWT, mTLS, and secrets management.
  • Define front-end architecture standards for React and TypeScript, including BFF layers.

Skills

Distributed systems
Cloud-native architecture
Technical leadership
Backend design
React/TypeScript front-end

Tools

Python
FastAPI/Flask/Django
React
TypeScript
Docker
Kubernetes
Kafka
AWS
Azure
GCP

Job description

Machine Learning Technologies, LLC is seeking a Python Fullstack Lead with deep expertise in Python, distributed systems, cloud-native architectures, and microservices. The candidate translates business requirements into scalable, secure, production-ready designs and guides both backend and frontend architecture.

You will design cloud-native microservices, REST/gRPC APIs, and frontend integration with React and TypeScript, steering implementation across teams.

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