Python Fullstack Developer III

Summary

In this role, you’ll have the chance to build and maintain innovative new experiences for Knock’s internal and customer-facing web applications. You’ll continually learn, grow, and expand your knowledge. At the same time, you’ll support others’ learning experiences, acting as a mentor and a resource for others both inside and outside of your team. You’ll collaborate with our talented Product and Engineering teams, as well as other parts of the Knock business, to deliver great products. You’ll utilize best practices for architecture, implementation, testing, monitoring, logging, and deployments. You’ll also take on ad-hoc projects as they arise and always be willing to support your team where they need you. Lastly, you’ll communicate and exchange accurate information with others via telephone or internet video applications.

Primary Responsibilities

• Develop, test, and deploy full-stack solutions for our AI platform, focusing on data pipelines, APIs, and system integrations.
• Design and implement backend services using Python and modern frameworks to support conversational AI configurations.
• Build intuitive, responsive, and dynamic front-end interfaces with React and TypeScript to streamline platform configuration and monitoring.
• Work on seamless integrations with external systems to enhance the functionality of our conversational AI products.
• Leverage AWS (or other cloud platforms) to build and deploy scalable, reliable, and secure infrastructure for the platform.
• Monitor, troubleshoot, and optimize platform services for performance and scalability.
• Write clean, maintainable code and contribute to architectural decisions that align with industry best practices.
  
  
  

Required Knowledge/Skills/Abilities

• 6+ years of experience in full-stack development, with a strong focus on backend and API development.
• Proficiency in Python for backend development and TypeScript with React for frontend applications.
• Experience with AWS or other cloud platforms, including deploying and managing cloud-based systems.
• Strong understanding of data management, APIs, and system integrations.
• Familiarity with databases (relational and NoSQL), query optimization, and data modeling.
• Knowledge of RESTful API design and best practices.
• Experience in building user-facing tools for configuring or managing AI/ML systems is a plus.
• Familiarity with containerization tools like Docker and CI/CD pipelines.
• Strong problem-solving skills and ability to thrive in a collaborative team environment.
  
  
  

Preferred Knowledge/Skills/Abilities

• Strong understanding of Web Sockets for real-time, bidirectional communication Experience with audio streaming technologies and protocols for building low latency, high quality interactive experiences
• Experience with backend frameworks like Django, Flask, or FastAPI.
• Understanding of conversational AI systems, including natural language processing (NLP). Knowledge of serverless computing, microservices, or infrastructure-as-code (e.g., Terraform)