| Job Description: | JOB DESCRIPTION
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 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.
** Ability to work in the U.S. without sponsorship**
**Ability to meet the location requirement outlined above** |