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

Job Details

• Job ID: J53297
• Job Title: Python Full stack Lead
• Location: Los Angeles, CA
• Duration: 8 Months + Extension
• Domain Exposure: Real Estate
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Description

We are seeking a Python Fullstack Lead with deep expertise in Python, distributed systems, cloud-native architecture, and microservices. The candidate must have in-depth expertise in at least one major cloud platform - AWS, Azure, or GCP and the ability to translate business requirements into scalable, resilient, secure, and production-ready architectures. The candidate should also have hands-on experience with React and TypeScript to guide front-end architecture and its integration with backend services.

Key Responsibilities

• Design cloud-native microservices using Python, applying Domain-Driven Design (DDD), appropriate service boundaries, and loosely coupled architectures.
• Define HLD/LLD, API contracts, service interactions, data ownership, integration patterns, and architecture standards.
• Design REST/gRPC APIs, API gateways, authentication/authorization, versioning, rate limiting, idempotency, and backward compatibility.
• Design event-driven and asynchronous architectures using Kafka or cloud-native messaging services; address ordering, retries, duplicate messages, DLQs, replay, and eventual consistency.
• Apply distributed-systems patterns including Saga, CQRS, Outbox, Circuit Breaker, Retry/Backoff, Bulkhead, and distributed caching.
• Design highly available and scalable solutions using Docker, Kubernetes, serverless and managed cloud services.
• Ensure application and infrastructure security using IAM/RBAC, OAuth2/OIDC, JWT, mTLS, secrets management, encryption
• Define front-end architecture standards for React and TypeScript applications, including component design, state management, and integration with backend microservices via REST/GraphQL APIs or Backend-for-Frontend (BFF) layers.
• Ideal candidate should have worked on an eCommerce domain and have basic ideas on composable package components in eCommerce like headless CMS, headless search etc and have hands on experience integrating them via backend services.

Technical Requirements

• Python 3.x, FastAPI/Flask/Django, asyncio, concurrency, type hints, testing, profiling and performance optimization.
• Hands-on experience with React and TypeScript, including hooks, state management (e.g., Redux, React Query), component-based architecture, front-end performance optimization, and testing.
• Expert-level knowledge of AWS OR Azure OR GCP (AWS will be preferred), including compute, containers/Kubernetes, API Gateways, networking, IAM/security, databases, messaging, storage, monitoring and serverless capabilities.
• Strong understanding of designing and implementing event driven architecture using a cloud provider leveraging patterns like fan out (Eventbridge, SNS, SQS / Kinesis in case of AWS) with proper message / data redundancy and fall back mechanisms.
• Strong SQL and database design skills with PostgreSQL/MySQL/Oracle plus experience with NoSQL technologies such as DynamoDB, MongoDB, Cosmos DB, Cassandra or equivalent.
• Experience working with AI tools would be a plus
• Experience with retail/e-commerce, high-volume transaction processing, multi-region architectures.
• Strong understanding of system design, distributed systems, scalability, resilience, security and production operations

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.