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# Software Engineer, Revenue Science

- **Company:** AI Enabled Solutions LLC
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Warehousing, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Systems Development Life Cycle, Standard Sql, Software Engineering, SQL Databases, Data Processing, Scripting, Backend, Kotlin, Event Driven Architecture, Data Management, Stream Processing, Data Pipelines
- **Published:** August 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-revenue-science-san-francisco-ca--0261e5c7-6ff3-4275-b941-c70d60172435

## About the Role

* 3-5 years of professional software engineering experience with a backend focus.
 * Proven experience with distributed systems, APIs, and event-driven architectures.
 * Proficiency in Kotlin or Python, with strong SQL/Postgres expertise.
 * Hands-on experience in cloud-native environments (AWS, GCP, or Azure).
 * Experience building and maintaining real-time data pipelines or stream processing tools.

Preferred

 * Background in fintech, particularly in capital markets, pricing systems, or financial operations.
 * Experience integrating machine learning models into production systems.
 * Interest in or experience with internal tooling or infrastructure., Amazon Web Services (AWS), Application Programming Interface (API), Capital Markets, Cloud Computing, Credit Risk, Data Analysis, Data Management, Data Processing, Data Science, Data Warehousing, Distributed Computing, Engineering, Finance, Financial Analysis, Financial Operations, Financial Reporting, Financial Services, Funding, GCP (Good Clinical Practices), High Reliability, Kotlin, Loan Operations, Loans, Machine Learning, Machine Tool, Microsoft Windows Azure, Operational Improvement, Operational Strategy, Operational Support, PostgreSQL, Pricing, Production Systems, Python Programming/Scripting Language, SQL (Structured Query Language), SQL Databases, Scalable System Development, Software Engineering

## Description

* Collaborate with engineering, data science, and finance teams to enhance infrastructure that supports lending marketplace operations.
 * Contribute to cloud-native system design and deployment across distributed environments.
 * Work with SQL databases and data warehousing solutions to facilitate financial reporting and analytics.
 * Scale internal tooling and infrastructure to improve operational efficiency and visibility.
 * Solve complex, real-world problems while ensuring high standards for reliability and performance.


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