Senior Software Engineer/Tech Lead (Full-Stack)

Eligibility / Qualification Required:

About GoodLeap: 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. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. 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.

Qualifications

• 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.

Bonus Points

• Experience in FinTech or Mortgage

Additional Information Regarding Job Duties and Job Descriptions:
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.
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