Green Dot Corporation-posted 3 months ago
$139,900 - $199,300/Yr
Full-time • Senior
1,001-5,000 employees

We are 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.

  • 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.
  • 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.
  • 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.
  • Diversity and equal opportunity for all applicants and employees.
  • Reasonable accommodations for candidates on request.
  • Respect for applicants' privacy rights.
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