5 часов назад
Lead Product Engineer (AI/.NET)
139 900 - 199 300$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Product Engineer (AI/.NET): Building enterprise-grade, cloud-native financial services applications and executing Azure migration strategies with an accent on .NET, C#, SQL Server, and AI-assisted development. Focus on modernizing legacy systems, implementing intelligent automated testing, and delivering production-grade code through CI/CD without relying on separate testing groups.
Location: West Los Angeles, California, United States; structured hybrid with a minimum of three days per week in the office.
Salary: $139,900–$199,300 per year.
Company
provides smart money management and payment solutions.
What you will do
- Lead the design, development, and deployment of enterprise-grade applications with .NET, C#, and SQL Server.
- Architect and execute Azure migration, re-platforming, and legacy-system modernization initiatives.
- Build and optimize cloud-native solutions using Azure services such as AKS, Cosmos DB, App Services, and Functions.
- Use AI copilots and generative AI to define specifications, iterate on user flows and architectures, and write, refactor, and test code.
- Develop intelligent testing frameworks that generate test cases, predict bugs, and support self-healing.
- Mentor junior engineers and promote cloud engineering, automated testing, and AI-assisted development best practices.
Requirements
- 8+ years of software engineering experience focused on .NET and C#.
- Strong SQL Server and database design skills.
- Experience with Azure migration and cloud-native application development.
- Experience with automated testing, TDD, CI/CD pipelines, and API testing tools.
- Familiarity with AI code assistants such as GitHub Copilot or Claude.
- Must currently reside in West Los Angeles, CA and be legally authorized to work in the United States without current or future sponsorship.
Nice to have
- Microservices, containerization, and container orchestration experience.
- Azure DevOps and related Azure tools knowledge.
- Exposure to AI/ML concepts, CNCF projects, and technical leadership with offshore teams.
- Strong ownership, communication, and production-quality engineering practices.
Culture & Benefits
- Structured hybrid work model with remote flexibility on non-office days.
- Agile environment with AI-enhanced development workflows.
- Inclusive and accessible hiring process with accommodations available upon request.
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