PENNYMAC:
Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U.S. mortgage loans and the management of investments related to the U.S. mortgage market.
At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey.
A Typical Day:
Design, develop, and deploy full-stack applications using React 19+, TypeScript, and modern backend frameworks or languages
Architect scalable APIs and data-driven services with attention to performance and reliability
Implement secure authentication flows, error handling, and production-grade monitoring
Design and optimize database schemas and ensure efficient query performance
Build responsive, accessible, and performant user interfaces
Leverage AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) to increase development velocity and code quality
Contribute to internal developer tools, AI agent integrations, and LLM-powered features
Collaborate cross-functionally with product, design, and DevOps teams in an agile environment
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Mentor engineers on AI-augmented coding workflows and modern development practices
What You’ll Bring:
3+ years of full-stack software development experience in production environments
2+ years of experience using TypeScript across front-end and back-end contexts
Expert-level proficiency in ReactJS and modern front-end development patterns
Strong foundation in backend engineering - Node.JS preferred, including:
Scalable API design (REST or GraphQL)
Database schema design and optimization
Authentication and authorization best practices
Concurrency and performance optimization
Robust error handling and observability for production systems
Hands-on experience with cloud environments (AWS preferred) and microservice architectures
Demonstrated use of AI coding tools in professional development settings
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Strong communication skills and a collaborative mindset
Preferred Qualifications
Experience with Auth0 or federated SSO integrations
Familiarity with LLM integration, RAG pipelines, or vector databases
Knowledge of Infrastructure as Code (Terraform, CDK, or CloudFormation)
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Exposure to AI safety or responsible AI development
Why You Should Join:
As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported.
Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include:
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Comprehensive Medical, Dental, and Vision
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Paid Time Off Programs including vacation, holidays, illness, and parental leave
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Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
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Retirement benefits, life insurance, 401k match, and tuition reimbursement
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Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships
Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below:
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Lower in range - Building skills and experience in the role
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Mid-range - Experience and skills align with proficiency in the role
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Higher in range - Experience and skills add value above typical requirements of the role
Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance.
Salary: $90,000 - $150,000 Work Model: OFFICE