Lead Engineer

About the role

We’re looking for talented professionals to join us in bringing smart money management and payment solutions to everyone’s 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. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.

Location Requirement

This position is open only to candidates who currently reside in the following approved location:

West Los Angeles, CA

Job Summary

Green Dot Corporation is seeking a Lead 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.

Ability to meet the location requirement outlined above

Position Type

Regular

Pay Range

The targeted base salary for this position is $139,900 to $199,300 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate’s geographical location.

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.

Important Notice on Application Accuracy

• We value integrity in our hiring process.
• Please ensure that all information provided in your resume and application is accurate and authentic.
• Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.