Senior Software Engineer - Risk Team

Senior Software Engineer
- Risk Team

Location:

Los Angeles, CA (Local)

Experience in fintech or risk management technology platforms.

Green Dot has been interviewing for this role directly for the past month and has seen many candidates with AI-generated or embellished resumes that did not accurately reflect their experience.

Looking for a strategic Senior Software Engineer who can lead technical initiatives, influence architecture decisions, and partner with business stakeholders not simply execute assigned development tasks. Strong backend engineering experience required (.NET/C#). Azure experience is a must-have. Experience building scalable APIs, distributed systems, and cloud-native applications. Strong communication skills with the ability to engage technical teams, leadership, and business stakeholders. Familiarity with fraud, risk, compliance, or fintech environments is highly preferred.

Candidate must be able to clearly articulate hands-on technical contributions and leadership experience. Resume, Linked In profile, and interview responses must align and accurately reflect experience.

Job Title:

Senior Software Engineer
- Risk Team

Job Description:

We are looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s fingertips. This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.

Location Requirement:
This position is open only to candidates who currently reside in one of the following approved locations:
Los Angeles, CA (will start off remote until LA office location is identified later this year, then resource will be onsite 2-3 days a week)

• 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 Info Sec, 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.

• 5+ years of software engineering experience, with 2+ years in technical leadership role with focus  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 Git Hub 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.

• 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.