Lead Product Engineer

Blue Ribbon Global Technologies; Pasadena (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Green Dot Corporation is seeking a Lead Product Engineer with deep expertise in .NET, C#, SQL Server, and Azure cloud technologies. You will lead engineering efforts to deliver scalable, cloud-native applications and drive Azure migration initiatives within an AI-enhanced development lifecycle.

Collaboration across teams will be essential to delivering high-impact solutions. You will mentor engineers, architect migration strategies, and work with AI copilots to optimize code quality and delivery

Qualifications

• 8+ years of software engineering with .NET and C# focus.
• Strong SQL Server and database design experience.
• Experience with Azure migration and cloud-native apps.
• Familiar with AI code assistants and modern tooling.
• Experience in automated testing, TDD, and CI/CD.

Responsibilities

• Lead design, development, and deployment of enterprise apps with .NET/C#.
• Architect Azure migration strategies for legacy modernization.
• Build cloud-native solutions using Azure services (AKS, Cosmos DB).
• Work in AI-enabled SDLC; translate requirements with AI copilots.
• Collaborate with AI to iterate on user flows and architectures.
• Pair program with AI tools to write and test production code.
• Write tests concurrently with development to ensure CI/CD.
• Mentor junior engineers and promote cloud/AI best practices.

Skills

.NET

C#

SQL Server

Azure

AI tools (Copilot/Claude)

Automated testing

CI/CD

Agile

Mentoring

Tools

Azure DevOps

GitHub Copilot

Claude

Job description

Product ManagerJob Title:Lead Product EngineerJob 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.

This position may be offered to a candidate authorized to work in the US for his/her/their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

Ability to meet the location requirement outlined above

Background Check : No

Drug Screen : No