Description Position at loanDepot
Position SummaryThe Senior Software Engineer contributes to the design, development, and evolution of enterprise software solutions. These solutions serve our customers, loan originators, operations teams, and other participants across the mortgage value chain. This role helps drive technology solutions supporting one of the largest mortgage lending platforms in the United States.
loanDepot is evolving from traditional software development toward an AI-enabled and increasingly agentic engineering model. This role will help advance that evolution-combining strong software engineering fundamentals with modern AI-assisted development practices to deliver high-quality solutions faster and more effectively.
Our core technology ecosystem is centered on C#/.NET, Microsoft SQL Server, Azure, and modern web technologies. Python and other technologies are used where they are the right tools for the problem.
This is a hands-on senior engineering role. Successful engineers will be comfortable working across existing enterprise systems, modern cloud-native applications, rapid prototypes, and emerging AI-native and agentic solutions.
Enterprise Software Engineering- Design, build, test, and support enterprise-grade software and services that solve meaningful business problems.
- Develop and evolve applications primarily using C#/.NET, SQL Server, Azure, APIs, and related technologies, while leveraging Python and other languages and frameworks where appropriate.
- Participate in rapid prototyping and proof-of-concept development to transform business opportunities into working software that can be evaluated and evolved into production solutions.
- Modernize existing applications while maintaining enterprise stability, security, performance, and reliability.
- Design APIs, reusable services, integrations, data models, and platform capabilities.
- Work directly with product, business, architecture, and engineering partners to understand problems and deliver solutions.
- Pick up new technologies quickly. Software development is constantly evolving; this role is expected to stay up-to-date.
Agentic Software Engineering- Use AI-assisted and agentic software development tools as a normal part of the engineering workflow to accelerate research, development, testing, debugging, documentation, modernization, and delivery.
- Effectively direct and collaborate with coding agents by decomposing problems, providing context and constraints, evaluating generated solutions, and taking accountability for resulting software.
- Own software quality regardless of how code is produced; ensure human-written and AI-generated code meets standards for correctness, security, maintainability, performance, testing, and observability.
- Develop automated tests and use AI-enabled testing and validation techniques to shorten feedback cycles.
What Success Looks Like- Deliver applications, APIs, and integrations to support key business objectives.
- Deliver high-quality solutions across multiple projects and teams while becoming effective quickly in new domains and codebases.
- Demonstrate maintainability, security, testability, observability, and operational readiness in your work.
- Communicate effectively with developers, architects, QA, DevOps, business analysts, and other project stakeholders.
Required Qualifications - Technical Expertise- 6+ years of professional software engineering experience designing and delivering production enterprise applications.
- Advanced proficiency with C# and .NET and strong knowledge of the Microsoft development ecosystem.
- Strong Microsoft SQL Server and T-SQL experience, including data modeling, query design, performance optimization, and troubleshooting.
- Strong experience designing, implementing, consuming, and maintaining RESTful APIs and distributed application services.
- Experience building and operating applications within Microsoft Azure or a comparable public cloud.
- Strong understanding of software architecture, design patterns, distributed systems, and technical tradeoffs.
- Experience with source control, branching strategies, pull requests, automated builds, CI/CD, and modern software delivery.
- Ability to evaluate software for readability, maintainability, performance, security, testability, and operational reliability.
- Experience with Python, JavaScript, Angular, and/or TypeScript preferred.
Required Qualifications - AI & Agentic Engineering- Hands-on experience using modern AI coding assistants, coding agents, or agentic development tools.
- Understanding of context, requirements, constraints, architecture, and validation criteria needed for reliable agent execution.
- Demonstrated curiosity and willingness to adapt engineering practices as AI capabilities evolve.
Preferred Qualifications- Bachelor's degree in Computer Science, Software Engineering, Computer Information Systems, or a related discipline, or equivalent professional experience.
- 8+ years of relevant software engineering experience.
- Experience building software within highly regulated industries.
- Mortgage or financial services experience preferred but not required.
- Experience modernizing large enterprise applications or transitioning legacy systems toward cloud-native architectures.
- Experience implementing AI-enabled applications or introducing AI-assisted development practices.
Why Work for #teamloanDepot- Work with other passionate, purposeful, and customer-centric team members.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
- Extensive internal growth and professional development opportunities including tuition reimbursement.
- Comprehensive benefits package including Medical/Dental/Vision.
- Wellness program to support both mental and physical health.
- Generous paid time off options to support work-life balance.
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $100,000 and $166,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.
