Senior Software Engineer

Position Summary

Join a dynamic team within a business critical program, focused on the re-imagination of originations for personal lending. This role involves transitioning from antiquated systems to innovative solutions, with a particular emphasis on debt consolidation and loan origination processes. The project is a $50 million multi-year initiative that is a top strategic priority for the company.

What the right candidate will enjoy:

• Re-imagination of Loan Originations for personal lending use cases
• Transitioning from antiquated legacy systems to modern tech
• Focus on Debt Consolidation and Loan Origination without human intervention

What type of experience does the right candidate have:

• Mid- senior level experience - 7+ Years of Experience as a Full Stack Software Engineer
• Need strong experience with GraphQL
• Proficiency in Typescript
• Front-end capability with modern versions of Angular 16+ (35% of work)
• Backend Node APIs (65% of work)
• SQL on the backend (Not database design but working with complex queries and such)
• Experience with AWS services such as Lambdas and EC2 instances, S3 Buckets, etc (Cloud first developer)
• Some Ci/Cd work- dealing with existing pipelines
• Need AI experience - some AI assisted dev , understanding of LLMs, having broader understanding is necessary and required

What the responsibilities are of the right candidate:

• Develop and maintain complex web-based applications & enterprise systems using GraphQL, Typescript, NodeJS, and Angular.
• Develop target state technology that modernizes core lending platform services leveraging GraphQL with Apollo
• Client, Server, and Router, BPMN using Camunda v8, and Event Driven Architecture using Kafka on AWS.
• Design, develop, and deploy scalable and reliable software solutions optimized for AWS cloud infrastructure, leveraging DevOps best practices to ensure seamless CI/CD, infrastructure as code, and cloud-native performance.
• Continuously enhance and optimize code quality, scalability, security, and performance in consultation with agentic AI.
• Create clean, maintainable, and well-documented code adhering to best practices and coding standards.
• Write automated tests and conduct thorough testing to deliver high-quality shippable software every Agile/Scrum sprint.
• Collaborate with product owners, user experience designers, and other team members while leveraging agentic AI to find gaps, refine work more efficiently to enhance product delivery.
• Actively participate in discussions and development ceremonies, propose technical solutions, and translate them into working software using sanctioned AI agents.
• Have a strong bias for action and learning by doing mindset especially in applying agentic AI responsibly.
• Thrive working in a fast-paced environment where applying responsible use of agent AI is the new norm.