Sr. Engineer (CRM)

Green Dot Corporation-posted 3 months ago
$121,400 - $173,300/Yr
Full-time • Senior
1,001-5,000 employees
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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. We are evolving to a new and permanent 'Work from Anywhere' model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.

  • 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 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.
  • Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
  • Lead and build test automation frameworks using ReadyAPI/SoapUI/Selenium/JMeter for rest-based APIs hosted on Azure cloud.
  • Integrate test suites into CI/CD pipelines (Jenkins, Github).
  • Lead 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 on .Net and C#.
  • Proficiency in AWS and 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, Kubernetes/Docker.
  • 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.
  • 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.
  • Diversity and equal opportunity for all applicants and employees.
  • Reasonable accommodations for candidates on request.
  • Respect for applicants' privacy rights.
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