Landmarkit

Req: Lead Product Engineer with .Net exp Work Mode: Hybrid Location: Pasadena, California 91107 (Local candidates only)

Job Summary

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 (Software Development Life Cycle) 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 to go through large codebases, identify opportunities, and make changes.
• Write automated tests concurrently with code development to ensure continuous integration and delivery (must be able to work with API testing tools).
• 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 migrating to Azure 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, 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 and communication skills.
• Technical lead experience, including working with offshore teams.
• Familiarity with CNCF (Cloud Native Computing Foundation) projects.