Lead Product Engineer

Lead Product Engineer

Location:

Los Angeles, CA (West Los Angeles)

This position is open only to candidates who currently reside in the following approved location:
West Los Angeles, CA

Green Dot Corporation is seeking a Lead Product Engineer with deep expertise , 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.

• Lead the design, development, and deployment of enterprise-grade applications , 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., Git Hub 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.

• 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 Git Hub 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.

• 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 Dev Ops 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.