Senior Backend Engineer

Company Description

Guidde is a generative AI platform that empowers teams to deliver know-how 11x faster, making it effortless to share knowledge with customers or employees. Market-leading companies rely on Guidde's video documentation to streamline customer support, onboard and train employees, and enable self-service solutions. Our mission is to elevate team performance through cutting-edge technology and innovative tools.

Role Description

We are looking for a highly skilled Senior Backend Developer to join our "Create" team. This team is responsible for the creation, editing, and processing of video content, AI integrations, and the performance-intensive workloads that power our platform's key features. As a senior developer, you will play a central role in designing and building complex backend systems, ensuring scalability, performance, and reliability in a fast-paced, collaborative startup environment.

Key Responsibilities

• Collaborate closely with product, frontend and other stackholders and teams to deliver seamless user experiences.
• Architect and develop complex backend systems from the ground up.
• Build and maintain features supporting video creation and processing workflows.
• Integrate advanced AI technologies such as speech-to-text, text-to-speech, and large language models into our platform.
• Optimize and manage computationally expensive workloads.
• Design and write high-quality technical documents and architecture designs.
• Implement robust logging, metrics, and tracing systems to improve observability and maintain platform reliability.
  
  

• 5+ years of experience as a backend developer with a focus on designing and building complex server & data architectures.
• Expert knowledge of Node.js and its ecosystem, preferably using NestJS framework.
• Track record of developing scalable, high-performance systems from scratch.
• Proficiency in writing detailed technical designs and documentation.
• Proven experience handling offline, computationally expensive workloads.
  
  

• Experience with video processing using FFMPEG
• Experience with Google Cloud Platform (GCP) services.
• Hands-on experience with AI models, such as speech-to-text, text-to-speech, and LLMs.
• Knowledge of C++ for computationally intensive processes.
• A degree in computer science or software engineering.