Lead Software Engineer

Green Dot Corporation•Tampa, FL

9d•Hybrid

About The Position

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. 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.

Requirements

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

Nice To Haves

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.

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 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.