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  3. Senior Software Engineer (Full-Stack)
GoodLeap logo

Senior Software Engineer (Full-Stack)

GoodLeap
Remote
Full Time
Posted April 16, 2026
$132k - $165k
Solar Energy
Remote
~59 people viewed this recently
Apply Now

Application opens on company website

Job Description

GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more.

Key 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.

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