Location RequirementThis position is open only to candidates who currently reside in one of the following approved locations:
West Los Angeles, CAJob SummaryGreen Dot Corporation is seeking a Senior Software Engineer to join the Risk Team, focusing on building scalable, secure, and resilient systems that support fraud detection, risk scoring, and compliance automation.
Key Responsibilities- Architect and develop backend services and APIs to support risk operations including fraud detection, transaction monitoring, and compliance workflows.
- Collaborate with cross-functional teams including InfoSec, Data Science, and Compliance to ensure seamless integration and performance of risk tools.
- Lead technical initiatives to improve SLA adherence, incident management, and root cause analysis systems.
- Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
- Integrate test suites into CI/CD pipelines.
- Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations and automation.
- Implement observability and monitoring solutions to ensure system reliability and performance.
- Mentor junior engineers and contribute to engineering best practices across the risk domain.
- Partner with business stakeholders to translate risk and compliance requirements into scalable technical solutions.
- Operate in an AI driven SDLC environment
- Write, test and produce production grade code in financial services without relying on testing by other groups
- Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
- Leads and builds test automation frameworks using Standard API testing tools for rest-based APIs hosted on Azure cloud.
- Integrate test suites into CI/CD pipelines
- Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations and automation.
Required Qualifications- 5+ years of software engineering experience, with 2+ years in technical leadership role with focus on .Net and C#.
- Proficiency in Azure Cloud native technologies and experience with Azure migration
- Strong understanding of Queuing mechanism, multithreading/Multi-Tasking, Distributed computing.
- Familiarity with AI code assistants like GitHub Copilot or similar tools.
- Experience in automated testing, Unit Testing, TDD, and CI/CD pipelines
- Strong proficiency in RESTful API design, OAuth2, and microservices architecture.
- Experience in various 3rd party integrations.
- Familiarity with risk scoring models, fraud detection systems, and compliance automation tools.
- Strong grasp of security and privacy standards relevant to financial data handling.
- Strong proficiency in SQL Server and database design.
- Ability to work in a fast-paced, agile environment with AI-enhanced workflows.
- Methodologies- Agile, Scrum
Preferred Qualifications- Experience in fintech or risk management technology platforms.
- Familiarity with operational domains such as fraud case management, transaction scoring, and regulatory reporting.
- Contributions to open-source projects or technical publications.
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Ability to work in the U.S. without sponsorship****Ability to meet the location requirement outlined above**POSITION TYPERegular
PAY RANGEThe targeted base salary for this position is $121,400 to $173,300 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.
