Senior Software Engineer - FinTech Risk & AI-Driven

Green Dot Corporation; Los Angeles (CA); Hybrid; USD 121,000 - 173,000; Full time

Job summary

Green Dot Corporation is seeking a Senior Software Engineer to join the Risk Team, building scalable, secure systems for fraud detection, risk scoring, and compliance automation.

The role involves architecting backend services, integrating with InfoSec, Data Science, and Compliance, and leading testing and observability initiatives. You will mentor engineers and contribute to AI-driven SDLC workflows in a fast-paced fintech environment.

Qualifications

• 5+ years in software engineering with leadership
• Proficiency in .NET/C# and Azure cloud
• Experience with RESTful APIs, OAuth2 and microservices
• Knowledge of fraud detection, risk scoring, and compliance automation
• Strong security and privacy practices for financial data
• Proficient SQL Server and database design
• Experience in automated testing and CI/CD

Responsibilities

• Architect and develop backend services and APIs for risk operations
• Collaborate with InfoSec, Data Science, and Compliance to ensure integration and performance
• Lead initiatives to improve SLA, incident management, and root cause analysis systems
• Implement intelligent testing frameworks that auto-generate test cases and enable self-healing
• Integrate test suites into CI/CD pipelines
• Mentor junior engineers and promote best practices across the risk domain
• Translate risk and compliance requirements into scalable technical solutions
• Operate in an AI-driven SDLC environment

Skills

C# / .NET

Azure Cloud

RESTful APIs

Leadership

Unit Testing

CI/CD

Security & Compliance

AI code assistants

Tools

GitHub Copilot

Azure DevOps

REST API testing tools

Job description

Green Dot Corporation is seeking a Senior Software Engineer to join the Risk Team, building scalable, secure systems for fraud detection, risk scoring, and compliance automation.

The role involves architecting backend services, integrating with InfoSec, Data Science, and Compliance, and leading testing and observability initiatives. You will mentor engineers and contribute to AI-driven SDLC workflows in a fast-paced fintech environment.