The Staff Software Engineer will design, develop, and scale the platform, lead project initiatives, mentor engineers, and ensure high performance and security across full-stack applications.
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. 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. You’ll work across the stack, own the technical direction of major projects, proactively remove roadblocks and lead initiatives from concept to delivery. This is a full-stack role with deep ownership, from backend services to frontend performance, from planning phrases to production launches.
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.
Key Responsibilities
- Lead the design and development of scalable, secure applications across the stack—spanning modern React UIs to high-performance backend services.
- Architect highly scalable, responsive, and secure solutions to ensure exceptional performance and reliability.
- Design and lead backend architecture that supports AI/ML-powered features across user-facing and API surfaces.
- Own end-to-end technical strategy for embedding LLMs and embedding stores.
- Drive initiatives end-to-end—from ideation and planning to execution—by breaking down complex projects into MVPs and manageable, prioritized releases.
- Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices.
- Collaborate with product and engineering leaders to align solutions with business objectives.
- 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.
- 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
- 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 LLM.
- Extensive experience in 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.
- Proficient in Node.js, React, TypeScript, and REST APIs, with experience in state management (Redux, XState, Nanostores a plus).
- Deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design.
- Extensive experience with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions.
- Extensive experience designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems.
- Experience working with vector databases, embeddings, and semantic search.
- 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.
- Expertise in designing systems for high availability, fault tolerance, and scalability.
- Excellent communication skills with the ability to influence technical direction and collaborate effectively across product, engineering, and executive teams.
Bonus Points
- Experience in FinTech or Mortgage
Why Join Us
- Competitive salary and benefits package.
- Opportunity for professional growth in a collaborative, inclusive, and fast-paced environment.
- Work with a passionate, forward-thinking team dedicated to making a difference.
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.
Top Skills
AWS
Azure
GCP
Node.js
Playwright
React
Tailwind
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What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
