Lead Python-Full Stack 100% Remote

Anveta Inc; United States; Remote; USD 128,000 - 173,000; Full time

Job summary

Anveta Inc. is seeking a Lead Python-Full Stack to oversee full-stack development using Python and Angular. The role emphasizes 100% remote work with a salary of $150K per year. You will design modular frontend architecture, build backend services with FastAPI, deploy on AWS, and drive CI/CD pipelines.

The ideal candidate has strong Python and Angular skills, experience with data modeling, AI concepts, and observability tools, and will mentor the team in best practices.

Qualifications

• Experience with Python and Angular technologies.
• Strong data modeling experience with structured data.
• Familiarity with AI concepts and tools.

Responsibilities

• Develop frontend using Angular 19.2, TypeScript, RxJS, and Reactive Forms.
• Design modular frontend architecture for scalability and maintainability.
• Build backend services with Python, FastAPI, and SQLAlchemy.
• Create REST APIs and asynchronous services for frontend support.
• Deploy and manage apps on AWS and EKS/Kubernetes.

Skills

Python

Angular

Data modeling

AI concepts

FastAPI

AWS

Kubernetes

GitLab CI/CD

Terraform

Observability

Tools

Python

Angular

FastAPI

SQLAlchemy

AWS

EKS/Kubernetes

Terraform

GitLab CI/CD

WebSockets

LangGraph/LangSmith

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