Sr. Software Engineer, Lumonic

At PitchBook, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. 

About the Role:

Lumonic, a subsidiary of PitchBook, is a private credit management platform founded and designed to automate reporting and compliance for private credit lenders. Its proprietary platform streamlines borrower financial data collection and verification, enabling investors to monitor compliance, covenant adherence, and financial health across their lending portfolios in real-time.

PitchBook’s Senior Software Engineer supports our Lumonic subsidiary and is responsible for building next-generation solutions that modernize portfolio workflows through AI-driven analytics and automation. The Lumonic platform encompasses data collection, extraction, and reporting to provide critical portfolio insights in real-time, helping investment professionals make better decisions with their data.

This roles works with modern technologies in our Python/React/PostgreSQL stack to solve complex problems in private financial markets. Problems range from data extraction, normalization, and reporting. We're looking for engineers who are hungry, passionate about coding, and already incorporating AI tools into their workflow.

Primary Job Responsibilities:

• Build game-changing features for the Lumonic platform
• Own problems end-to-end, working directly with stakeholders to build solutions
• Shape our technical roadmap through a combination of experimentation, proof-of-concepts, and production ready builds
• Provide technical guidance, mentorship, and code reviews for team members
• Solve complex data extraction challenges that turn financial documents into actionable insights
• Enhance our AI capabilities across the platform
• Champion AI integration into our own workflows
• Support initiatives to scale our architecture to match customer growth
• Participate in customer calls and understand the direct impact of your work
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a similar field 
• 5+ years in Software Development or Engineering roles
• Ability to solve complex problems and build innovative solutions
• Strong Python skills with experience or familiarity in modern frameworks (FastAPI, SQLAlchemy, Pydantic, Polars)
• React expertise with Material UI or similar component libraries
• PostgreSQL database design and optimization experience
• Demonstrated passion for coding (side projects, open-source contributions, etc.)
• Comfortable integrating or already integrated AI tools into your daily workflow
• Can handle ambiguity and turn undefined problems into actionable solutions
• Excellent written and verbal communication skills 
• Track record of building and shipping web applications end-to-end a plus
• A genuine interest in finance and/or private credit, private equity, and venture capital
• Ability to translate complex domain concepts into elegant software solutions
• Experience with automated testing and CI/CD pipelines
• AWS infrastructure experience (EC2, RDS, S3, Lambda etc.) preferred
• Experience with data visualization and complex UI interactions preferred
• Demonstrated understanding of building LLM integrated products preferred
• Previous work with document parsing or d