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Green Dot Corporation

Sr. Software Engineer

Posted One Month Ago
In-Office or Remote
2 Locations
121K-173K Annually
Senior level
In-Office or Remote
2 Locations
121K-173K Annually
Senior level
Develop backend services and APIs for fraud detection, risk scoring, transaction monitoring, and compliance automation. Lead technical initiatives, testing strategy, CI/CD integration, observability, incident management, and root-cause analysis. Build intelligent automated testing frameworks and production-grade financial software using .NET, C#, Azure, SQL Server, REST APIs, and microservices. Collaborate with InfoSec, Data Science, Compliance, and business stakeholders while mentoring junior engineers.
The summary above was generated by AI

We’re 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.

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JOB DESCRIPTION

Location Requirement

This position is open only to candidates who currently reside in one of the following approved locations:

 

West Los Angeles, CA

 

Job Summary

Green 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.

 

**Ability to work in the U.S. without sponsorship**
**Ability to meet the location requirement outlined above**

 

POSITION TYPE

Regular

PAY RANGE

The 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.

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We’re Here to Support You—Accommodations Upon Request

Green Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.

Work Authorization Requirement
At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Important Notice on Application Accuracy
We value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.


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