Green Dot Corporation

Green Dot Corporation

Senior Software Engineer - Risk Team

Los Angeles, California, USA · Senior

No sponsorship$121k-$173kDetected 153 days ago
Backend DevelopmentGitSQLAzureCI/CDAPI DevelopmentRESTOAuthData ScienceCybersecurityDetection EngineeringAccessibilityAgileTest AutomationAPI TestingLeadershipCommunication

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$106,7871 entry
Level II$134,2022 entries
Level III$161,6373 entries
Level IV$189,0514 entries

$12,802 more — $134,202 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $134,202 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • This position is open only to candidates who currently reside in one of the following approved locations:
  • Integrate test suites into CI/CD pipelines.
  • Mentor junior engineers and contribute to engineering best practices across the risk domain.

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.
  • 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.
  • Partner with business stakeholders to translate risk and compliance requirements into scalable technical solutions.
  • Leads and builds test automation frameworks using Standard API testing tools for rest-based APIs hosted on Azure cloud.
  • 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're Here to Support You-Accommodations Upon Request

Requirements

  • 5+ years of software engineering experience, with 2+ years in technical leadership role with focus on.
  • 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 proficiency in SQL Server and database design.
  • Ability to work in a fast-paced, agile environment with AI-enhanced workflows.

Nice to have

  • 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**

Compensation

  • 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.

Company info

  • We're looking for talented professionals to join us in bringing smart money management and payment solutions to everyone's fingertips.
  • If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know.
  • Work Authorization Requirement At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices.

Equal opportunity

  • We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity.

Visa & Work Authorization

  • 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.

This listing is sourced directly from Green Dot Corporation's careers page and normalized into a canonical job model.