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Lead Product Engineer

Tranzeal Inc.

  • Los Angeles, CA
  • 30+ days ago

    Highlights

    Write automated tests concurrently with code development to ensure continuous integration and delivery, able to work API testing tool. You will lead engineering efforts in a dynamic, AI-enhanced development lifecycle (AIDLC), collaborating with cross-functional teams to deliver high-impact solutions.

    Numbers & Facts

    LocationLos Angeles, CA

    Description

    Title- Lead Product Engineer
    Location- Los Angeles, CA (West Los Angeles)


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




    Summary


    Job Information
    Job Taxonomy: Product Manager
    Job Title: Lead Product Engineer
    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**

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