Lead Product Engineer – .NET and AI Driven

We’re looking for talented professionals anywhere in the United States to join us in bringing smart money management and payment solutions to everyone’s fingertips.

At Green Dot 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.

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JOB DESCRIPTION

Green Dot Corporation is seeking a Lead Product Engineer with deep expertise in .NET C# SQL Server and Azure cloud technologies. This role is ideal for someone passionate about building scalable cloud-native applications and driving Azure migration initiatives. You will lead engineering efforts in a dynamic AI-enhanced development lifecycle (AIDLC) collaborating with cross-functional teams to deliver high-impact solutions.

Key Responsibilities:

• Lead the design development and deployment of enterprise-grade applications using .NET C# and SQL Server.

• Architect and execute Azure migration strategies including re-platforming and modernization of legacy systems.

• Build and optimize cloud-native solutions leveraging Azure services (e.g. AKS Cosmos DB App Services Functions).

• Operate in an AI driven SDLC environment:

  • Translate stakeholder conversations into structured specifications using AI copilots.

  • Collaborate with generative AI to iterate on user flows interfaces and architectures.

  • Pair program with AI tools (e.g. GitHub Copilot Claude) to write refactor and test code in real-time.

  • 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.

  • Leverage code assistants and go through large code bases identify opportunities and make changes.

• Write automated tests concurrently with code development to ensure continuous integration and delivery able to work API testing tool.

• Mentor junior engineers and promote best practices in cloud engineering and AI-assisted development.

Required Qualifications:

• 8+ years of experience in software engineering with a focus on .NET and C#.

• Strong proficiency in SQL Server and database design.

• Proven experience with Azure migration and building cloud-native applications.

• Familiarity with AI code assistants like GitHub Copilot Claude or similar tools.

• Experience in automated testing TDD and CI/CD pipelines.

• Ability to work in a fast-paced agile environment with AI-enhanced workflows.

Preferred Skills:

• Experience with microservices architecture and containerization and container orchestration.

• Background in building production grade code fully automated testing and continuous delivery practices

• Knowledge of Azure DevOps and related Azure tools.

• Exposure to AI/ML concepts and tools.

• Strong ownership mindset communication skills

• Technical lead experience working with offshore teams are a plus

• Familiarity with CNCF projects is a plus.

POSITION TYPE

Regular

PAY RANGE

The targeted base salary for this position is $139900 to $199300 per year. The final compensation will be determined by a number of factors such as qualifications expertise and the candidate’s geographical location.

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Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds perspectives and skills. We believe that the more inclusive we are the better our work (and work environment) will be for everyone. Additionally Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.

Work Authorization Requirement At Green Dot Corporation we value diversity and strive for fair and inclusive hiring practices. 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.