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
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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