Staff Software Engineer

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. Position Overview We are seeking a highly skilled Staff Software Engineer to bring technical excellence, initiative and leadership to our team. As a Staff Engineer, you will play a critical role in designing, developing, and scaling our platform. We are building a new revenue path for GoodLeap, a project with direct executive attention and real momentum behind it. This is one of the most exciting areas of the company to be a part of right now. This is a great opportunity for someone who thrives in a fast-paced environment and is eager to take ownership of key initiatives within a growing company. You\'ll work closely with cross-functional teams, including product managers, designers, and other engineers, to build solutions that are reliable, secure, and optimized for performance. Driving our AI strategy is central to this role, building and shipping Agents powered by LLMs and other AI technologies. This is a full-stack role with deep ownership, from backend services to frontend performance, from planning phases to production launches. Key Responsibilities Lead the design and development of large-scale applications, for both frontend and backend components. You\'ll contribute across the stack, whether it\'s modern Mobile UIs, React components or high-performance backend services. Architect highly scalable, responsive, and secure solutions to support AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices. Drive cross-functional projects to enhance the reliability and performance of our applications. Ensure compliance with security best practices and data privacy regulations. Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence. Communicate clearly, engage with stakeholders, product managers and cross-functional teams to align on goals, share progress and manage expectations. Required Qualifications 8+ years of experience in software engineering, with a strong background in building full-stack applications at scale, with at least 2+ years working with AI/ML solutions or LLMs Experience with NodeJS, React and Typescript Experience with state management solutions (Redux or similar) Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design. Experience in cloud platforms such as AWS, Azure, or Google Cloud, with a focus on performance. Strong knowledge of application lifecycle, navigation patterns, and data security. Expertise in designing systems for high availability, fault tolerance, and scalability. Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams. Strong leadership skills, with a proven ability to mentor and lead engineering teams. Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment. Strong communication skills Preferred Skills Experience in FinTech Experience in Langfuse and Flutter $155,400 - $193,500 a year Base pay range (CA, WA, NJ, MA, DC, NYC) per year: $170,500 - $193,500 Base pay range (all other US locations) per year: $155,400 - $175,900 In addition to the above salary, this role may be eligible for a bonus. Base pay range (CA, WA, NJ, MA, DC, NYC) per year: $170,500 - $193,500 Base pay range (all other US locations) per year: $155,400 - $175,900 In addition to the above salary, this role may be eligible for a bonus. 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. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.