Lead Product Engineer

WaferWire Cloud Technologies

Los Angeles (CA)

On-site

USD 105,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental & Vision
Life Insurance
PTO & Holidays
401(k)

Job summary

WaferWire Cloud Technologies in Los Angeles seeks a Lead Product Engineer to drive scalable .NET/C# applications, SQL Server, and Azure cloud initiatives. You will lead design, development, and production deployment in a fast-paced, AI-enhanced environment.

You will mentor engineers, steer Azure migration, and implement automated testing and CI/CD, partnering with AI copilots to optimize user flows and system architectures.

Qualifications

  • 8+ years in software engineering with a focus on .NET/C#.
  • Strong SQL Server/database design expertise.
  • Experience with Azure migration and building cloud-native applications.
  • Familiarity with AI code assistants like GitHub Copilot.
  • Experience with automated testing, TDD, and CI/CD.
  • Able to work in a fast-paced, agile environment with AI-enhanced workflows.

Responsibilities

  • Lead 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 (AKS, Cosmos DB, App Services, Functions).
  • Operate in an AI driven SDLC environment and translate stakeholder conversations into structured specifications.
  • Collaborate with generative AI to iterate on user flows, interfaces, and architectures.
  • Pair program with AI tools to write, refactor, and test code in real-time.
  • Write automated tests concurrently with code development to ensure CI/CD.
  • Mentor junior engineers and promote cloud engineering and AI-assisted development.

Skills

.NET/C#
SQL Server
Azure migration
AI copilots
CI/CD pipelines
Agile workflows

Tools

GitHub Copilot
Claude

Job description

Job Title: Lead Product Engineer
Location: Los Angeles, CA
Worksite: Onsite
About WCT

WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world s most innovative companies. As a WCT employee, you ll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.

Job Summary
  • Team 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.
Compensation / Salary Range:

The typical pay range for this role is: USD $105,000/Yearly - $120,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits:

Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.

WCT will accept applications and processes offers for these roles until the role is filled.

Equal Employment Opportunity Declaration:

WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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