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Lead Python-Full Stack 100% Remote

Anveta IncUnited States🇺🇸United StatesPosted Sep 23, 2026

Why This Role Stands Out

This 100% remote Lead Python-Full Stack role offers an exciting opportunity to architect and implement innovative solutions using cutting-edge technologies like AI engineering and AWS, with a competitive salary of $150K per annum. You'll thrive here if you're a seasoned developer passionate about driving technical direction and delivering high-impact projects in a flexible, forward-thinking environment. Apply today to shape the future of full-stack development!

Quick Overview

Salary
$150k/yr
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
1 week ago
FastAPIRxJSAWSSonarQubeAngularGitLab CIKubernetesPostgreSQLPythonRESTTerraformTypeScript

Job Description

Lead Python-Full Stack

100% Remote – Technical Lead / Python/ Full Stack  Architect for Full Time & Salary:$150K per annum

Introduction:

The Lead Python-Full Stack position is a key role within our team, responsible for overseeing the development and implementation of full stack solutions using Python and Angular technologies. The successful candidate will play a crucial role in driving innovation and delivering cutting-edge solutions to our clients.

Responsibilities:

  • Develop and maintain frontend applications using Angular 19.2, TypeScript, RxJS, and Reactive Forms
  • Design and implement modular frontend architecture to ensure scalability and maintainability
  • Utilize WebSockets and design systems to create interactive and user-friendly interfaces
  • Build backend services using Python, FastAPI, and SQLAlchemy
  • Create REST APIs and asynchronous services to support frontend functionality
  • Manage and optimize data storage using Aurora PostgreSQL and Amazon S3
  • Work with structured and semi-structured clinical data to drive insights and decision-making
  • Deploy and manage applications on AWS, EKS/Kubernetes, and Terraform
  • Implement CI/CD pipelines using GitLab for automated testing and deployment
  • Utilize AI engineering tools and techniques such as LangGraph/LangSmith, RAG, and vector search
  • Ensure prompt/model governance and observability using tools like Galileo/Portkey
  • Adhere to engineering best practices such as ADRs, contract testing, SonarQube/static analysis, and feature flags

Requirements:

  • Strong proficiency in Python and Angular technologies
  • Experience with data modeling and working with structured data
  • Knowledge of Artificial Intelligence concepts and tools
  • Proficiency in FastAPI for backend development
  • Experience with cloud platforms such as AWS and containerization technologies like EKS/Kubernetes
  • Familiarity with GitLab CI/CD pipelines and infrastructure as code tools like Terraform
  • Experience with observability tools and practices for monitoring and troubleshooting applications

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