Senior Backend Software Engineer

Friday Harbor is a modern AI mortgage underwriting platform. They are seeking a Senior Backend Software Engineer to architect and build scalable backend systems and APIs that support their AI-powered platform, while collaborating with a team to define product features and technical architecture.

Responsibilities:

• Architect and build scalable backend systems and APIs to support our AI-powered mortgage underwriting platform as we scale to meet rapid customer growth
• Design and implement integrations with third-party mortgage systems (LOS platforms like Encompass, document providers, credit bureaus) and internal services
• Build and optimize LLM-powered features using the latest in agentic AI systems and retrieval-augmented generation (RAG) to improve underwriting accuracy and automation
• Own greenfield projects from concept to production while also scaling and refining existing systems to handle increasing loan volume
• Optimize system performance, security, and reliability to maintain seamless operations as we process thousands of loans monthly for enterprise customers
• Collaborate closely with our team of 5 engineers to define product features, technical architecture, and engineering best practices
• Shape our technical culture and contribute to product strategy, bringing insights from both customer needs and emerging AI capabilities

Requirements:

• 4+ years building scalable, high-performance backend systems
• Expertise in a modern backend language required; must be comfortable working in Python or adapting swiftly
• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative/technical field
• Strong problem-solving skills and the ability to design and implement efficient, maintainable software solutions
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, small team environment
• Comfortable with ambiguity and rapid iteration
• Experience in startups or fast-moving teams is a plus
• Experience integrating LLMs into production applications or building AI-powered workflows
• Production experience with SQL databases and familiarity with key-value stores like Redis
• Experience with cloud platforms, preferably AWS, and containerization technologies like Docker
• Experience working on financial technology or regulated industry systems