Lead Software Engineer

🕒 May 1

🏢🏡 New York City – Hybrid

💵 $170k - $180k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of New York Blood Center

New York Blood Center

WebsiteLinkedIn

1001 - 5000 employees

Founded 1964

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

Healthcare Insurance • Biotechnology • Pharmaceuticals

New York Blood Center is one of the largest independent, community-based blood centers in the United States, having proudly served the community since 1964. It provides high-quality blood and stem cell products, along with related medical and consultative services to hospitals and patients. NYBCe is also deeply involved in research focused on blood-related diseases and therapies, including the development of cell and gene therapies, aimed at improving treatment outcomes for patients.

📋 Description

• Own the technical architecture of DAPI's product portfolio—front-end (React/TypeScript), back-end (C# / ASP.NET Core), APIs, and Azure cloud infrastructure supporting application workloads. • Set and govern engineering standards across the Firefox team—coding conventions, testing requirements, CI/CD pipeline configuration, security practices, and documentation expectations. • Lead evaluation and adoption of new technologies, frameworks, and Azure platform capabilities—balancing innovation against stability and team capacity. • Lead the Firefox software engineering team—providing technical direction, sprint delivery accountability, code review governance, and hands-on guidance for complex workstreams. • Own team capacity planning, sprint scoping, and backlog estimation—ensuring delivery commitments are accurate, realistic, and met consistently. • Develop team capability through structured mentorship, code review culture, technical learning pathways, and progressive responsibility for Senior and junior engineers. • Own DAPI's application-layer AI integration strategy—defining architectural patterns for consuming Azure AI Services, Azure OpenAI, and ML model endpoints within production software products. • Lead the implementation of AI-powered product features—ensuring human-in-the-loop design, responsible AI compliance, and clean integration with Data Science model infrastructure.

🎯 Requirements

• 8+ years of professional software development with demonstrated ownership of enterprise-scale product portfolios. • 2+ years of experience technically leading a software engineering team in a product delivery environment. • Expert-level React/TypeScript and C# / ASP.NET Core—architecture, optimization, and production-grade system design. • Proven experience architecting and delivering AI-integrated product features using Azure AI Services, Azure OpenAI, or equivalent ML platform integrations. • Deep experience with Azure cloud application architecture—App Service, Azure Functions, API Management, Azure SQL, Service Bus, Key Vault, and related services. • Strong background in engineering standards governance—CI/CD pipeline ownership, code review culture, testing strategy, and DevOps discipline. • Demonstrated experience leading and mentoring software engineers—technical direction, performance development, and team capability growth. • Required Licenses / Certification: Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Solutions Architect Expert (Lead level); or equivalent cloud development certifications.

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