Lead Software Engineer

Green Dot Corporation-posted 3 months ago

$139,900 - $199,300/Yr

Full-time • Senior

1,001-5,000 employees

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Green Dot Corporation is seeking a Lead Software Engineer to join the Risk Team, focusing on building scalable, secure, and resilient systems that support fraud detection, risk scoring, and compliance automation. The role involves architecting and developing backend services and APIs to support risk operations including fraud detection, transaction monitoring, and compliance workflows. The company is 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.
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.
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.

8+ 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, 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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