Senior Software Engineer (Full-Stack)

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions. They are seeking a highly skilled Senior Full-Stack Software Engineer to contribute to the design, development, and scaling of their platform, focusing on creating secure and performance-optimized solutions.

Responsibilities:

• Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services
• Design and build architecture that supports AI/ML-powered features across user-facing and API surfaces
• Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases
• Collaborate with product and engineering leaders to align solutions with business objectives
• Ensure compliance with security best practices and data privacy regulations
• Mentor mid-level and junior engineers, fostering a culture of growth, learning, and technical excellence
• Evaluate and implement new technologies and tools to continuously improve our applications and development processes
• Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations

Requirements:

• 5+ years of full-stack software development experience using Node.js, React, TypeScript, and REST APIs, with experience in state management (Redux, XState, Nanostores a plus), preferably with at least 1+ year working with AI/ML solutions or LLM
• Familiar with implementing and maintaining CI/CD pipelines to streamline development, testing, and deployment processes
• Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
• Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design
• Experienced with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions
• Familiarity with designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems
• Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies
• Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently
• Excellent communication skills with the ability to influence technical direction and collaborate effectively across product and engineering teams
• Experience in FinTech or Mortgage