Technology - Application Developer III

Join a fast-growing team shaping the future of lending technology. As a Senior Full-Stack Software Engineer, you will drive the development of a next-generation, AI-powered lending platform. Leverage your expertise in Java, Python, Angular, and AI-driven tools to modernize loan onboarding and servicing through intelligent document analysis and event-driven architectures. This is your opportunity to make a measurable impact on financial services, work with the latest AI solutions, and grow your career in a collaborative, innovation-focused environment.

Responsibilities

• Design, develop, and maintain scalable web applications across the full stack
• Build robust backend services using Java and Python
• Create intuitive, responsive user interfaces using Angular and modern front-end technologies
• Integrate AI-powered solutions to automate document analysis and workflow processes
• Develop and maintain RESTful APIs and microservices for seamless platform operation
• Engineer event-driven systems with technologies like Kafka for high performance and reliability
• Collaborate with data teams to integrate with enterprise data platforms such as Snowflake
• Participate in architectural decisions and drive platform modernization initiatives
• Ensure code quality through best engineering practices and AI-assisted development tools
• Partner with cross-functional stakeholders to deliver production-ready solutions

7+ years of professional software engineering experience

• Hands-on expertise in Java, Python, and Angular for enterprise application development
• Proven track record designing and integrating REST APIs
• Experience with Kafka or similar event-streaming technologies
• Proficiency in working with Snowflake or comparable cloud data platforms
• Strong knowledge of object-oriented design, distributed systems, and application architecture
• Practical experience using AI-assisted development tools and coding agents
• Ability to manage multiple priorities independently in agile, fast-paced settings
• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience)

Preferred Skills

• Background in financial services, banking, lending, capital markets, or loan servicing
• Familiarity with credit agreements, loan processing, or structured credit products
• Experience with AI/ML integrations, Retrieval-Augmented Generation (RAG), prompt engineering, or AI-powered document intelligence
• Containerized application development with Docker and Kubernetes
• Contributions to greenfield product development or emerging technology initiatives
• Knowledge of cloud-native architectures, Word

Potential for contract-to-hire, offering long-term career growth

• Work on cutting-edge AI-powered solutions impacting the financial sector
• Hybrid work model promoting flexibility and work-life balance
• Collaborative, high-impact team environment focused on innovation
• Exposure to emerging technologies and enterprise-scale systems