Senior Full-Stack Architect

Senior Full-Stack Architect Overview

• The Senior Full-Stack Architect role focuses on designing scalable systems and leading technical strategy for AI-driven platforms.
• Collaborate with a high-performing team to build innovative solutions for enterprise and mission-driven organizations.
• Work on cutting-edge AI infrastructure, transforming unstructured data into actionable intelligence.
• Contribute to the development of robust cloud architectures emphasizing automation and reliability.
• Engage in hands-on coding while influencing technical strategies and best practices.
• Join a venture-backed startup with opportunities for significant ownership and impact.
• Ideal for candidates passionate about solving complex engineering challenges and creating meaningful real-world impact.
• U.S. Citizenship is required for this position.

Senior Full-Stack Architect Key Responsibilities & Duties

• Architect and develop scalable distributed systems for AI-driven applications.
• Manage the full software lifecycle, including backend services, APIs, and user-facing applications.
• Design and implement reliable cloud infrastructure with automation and observability.
• Build and optimize data pipelines and AI agent infrastructures.
• Collaborate with leadership to shape technical strategies and maintain hands-on involvement.
• Establish engineering best practices for scalability, reliability, and operational excellence.
• Leverage AI development tools to enhance engineering productivity.
• Lead through influence and execution, ensuring high-quality deliverables.

Senior Full-Stack Architect Job Requirements

• Bachelor of Arts degree in a relevant field is required.
• Minimum of 7 years of experience in production software development and scaling.
• Expertise in cloud architecture, full-stack engineering, and distributed systems.
• Proficiency in Python and one or more programming languages such as Go, Rust, Node.js, or TypeScript.
• Experience with AWS, Docker, Kubernetes, Terraform, CI/CD, and monitoring tools.
• Strong background in designing systems for enterprise-scale users and high-volume data workloads.
• Comfortable using AI tools like Cursor, Claude, or Copilot for development acceleration.
• Exceptional communication skills and ability to lead technically through influence.