Software engineer Jobs in Glendale, CA

Job Description

Sr. Software Engineer
Job Title:
Sr. Software Engineer - Risk Team
Job Description:

Were looking for talented professionals to join us in bringing smart money management and payment solutions to everyones 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 (office is located in W. Los Angeles). On-site expectations may evolve over time to support business needs, with clear communication provided in advance.

JOB DESCRIPTION
Location Requirement
This position is open only to candidates who currently reside in one of the following approved locations: W. 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)
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.
This position may be offered to a candidate
authorized to work in the US for his/her/their stated employer, without any restrictions which
would prevent the candidate from working on the proposed assignment for the duration of
the assignment period
**Ability to meet the location requirement outlined above**