1 день назад
Manager, AI-Native Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, AI-Native Software Engineering (AI) (C#/.NET, Azure, AI-assisted development): Leading a team building and maintaining the platforms powering Libra Solutions’ products with an accent on people leadership, technical oversight, and agentic software delivery. Focus on coaching engineers in AI-native practices, maintaining engineering standards across APIs, databases, frontend, and CI/CD, and improving delivery predictability and system quality.
Location: Remote within the United States, with the role based in Denver, CO; Huntersville, NC; Rosemont, IL; or Las Vegas, NV. Remote candidates may need to travel to Las Vegas occasionally.
Company
develops technology-enabled financial and healthcare solutions for personal injury cases through the MoveDocs, Oasis Financial, and Probate Advance brands.
What you will do
- Lead, mentor, and develop a team of software engineers across experience levels.
- Own delivery commitments for features, bug fixes, and technical investments within an agentic pod model.
- Participate in architecture discussions, code reviews, sprint planning, backlog refinement, and technical planning.
- Maintain engineering standards for C#/.NET, API design, database patterns, frontend development, and Azure DevOps CI/CD.
- Drive adoption of GitHub Copilot, Claude, and Azure OpenAI, including prompt engineering and AI output review practices.
- Track engineering metrics and use them to improve velocity, predictability, delivery health, and system quality.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- 7+ years of professional software development experience and 2+ years of people management or team leadership experience.
- Hands-on experience with C#, ASP.NET Core, Entity Framework Core, SQL Server or Azure SQL, and React or Angular.
- Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure.
- Experience collaborating with engineering, product, and business stakeholders in an agile delivery environment.
- Experience with AI-assisted development tools and the ability to coach engineers on prompt engineering, AI output evaluation, and responsible AI use.
Culture & Benefits
- People leadership is centered on regular 1:1s, constructive feedback, professional growth, accountability, trust, and continuous improvement.
- Benefits include medical, dental, vision, and life insurance.
- 401(k) match and paid time off are provided.
- The engineering organization uses an AI-accelerated delivery model in which AI agents support the software development lifecycle while engineers retain ownership of judgment, quality, and architecture.
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