Lead Software Engineer

Responsibilities

As the Lead Software Engineer, you are the technical head of DAPI's Firefox software development team—responsible for the architecture, delivery quality, and engineering capability of the products that power NYBCe's internal operations and enterprise data workflows. Reporting to the VP, Data & AI Product Innovation, you will set technical direction, own engineering standards, lead a team of Software Engineers, and ensure DAPI's product portfolio is built to a standard of quality, reliability, and maintainability that supports the organization's long-term AI and data strategy.

The Lead Software Engineer is the highest individual contributor level on the software engineering track. You are accountable for the team's technical output—architecture decisions, code quality, AI integration patterns, delivery velocity, and the capability development of every engineer on the Firefox team. You will serve as the primary technical liaison between engineering, product, design, and data science, translating DAPI's product roadmap into executable engineering plans and ensuring the product stack evolves to meet the organization's growing AI ambitions.

Candidates must be able to report into one of the following NYBCe locations: Rye, New York; Kansas City, Missouri; St. Paul, Minnesota; Providence, Rhode Island, Lincoln, Nebraska; and Newark, Delaware.

Technical Architecture & Platform Direction:

• 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.

Team Leadership & Delivery Accountability:

• 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.

AI Integration Strategy & Execution:

• 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.
• Collaborate with the Lead Data Scientist to define integration contracts between ML model serving infrastructure and application code—ensuring clear ownership boundaries and operational reliability.
• Contribute to DAPI's AI governance implementation at the application layer—enforcing Human-in-the-Loop (Policy 004), Model Governance (Policy 005), and AI Usage & Access (Policy 007) standards in product code.

Product & Design Collaboration:

• Serve as the primary technical partner to Product Managers—contributing to product discovery, feasibility assessment, roadmap sequencing, and backlog refinement from an engineering perspective.
• Partner with the Product Designer to ensure UI/UX designs are technically feasible, implemented accurately, and performant in production.
• Represent engineering in DAPI's discovery-to-delivery process—ensuring technical constraints are surfaced early, scope is managed proactively, and engineering input shapes product decisions.

Cross-functional & Platform Collaboration:

• Collaborate with the Lead Data Engineer on shared platform concerns—API contracts, data access patterns, event-driven integration, and application/data platform boundaries.
• Partner with Cloud Infrastructure (InfraVerse) on Azure environment governance, deployment architecture, and security configuration for application workloads.
• Represent the software engineering function in architectural discussions, vendor evaluations, and executive-level technical reviews.
• Participate in on-call rotation and off-hours outage escalation support.

Location Specific Detail:

• Hybrid - 3 days a week onsite

Qualifications

Education:

• Bachelor’s degree in computer science, Computer Engineering, Information Technology, or a related field. Equivalent practical experience will be considered.

Experience:

• 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

Knowledge:

• Enterprise front-end and back-end architecture—React/TypeScript at scale, ASP.NET Core service design, API governance, and application security patterns.
• AI application integration architecture—Azure AI Services, Azure OpenAI SDK, model endpoint consumption patterns, and responsible AI implementation at the application layer.
• Azure cloud application platform—hosting, networking, identity, storage, messaging, and security services for enterprise web application workloads.
• Engineering standards and DevOps governance—CI/CD pipeline design, automated testing strategy, branching models, and release management.
• Agile delivery leadership—sprint planning, team capacity management, backlog refinement, and cross-functional technical coordination.
• DAPI AI governance policies (004, 005, 007) and their implementation requirements at the application and UI layer.

Skills:

• Set and govern technical architecture across a full-stack enterprise product portfolio on Azure.
• Lead software engineering team—technical direction, delivery accountability, mentorship, and capability development.
• Architect AI integration patterns at the application layer—clean model consumption, human-in-the-loop UI design, and responsible AI compliance.
• Translate product roadmap priorities into engineering delivery plans with accurate scope, sequencing, and risk management.
• Communicate technical architecture decisions and engineering trade-offs clearly to Product Managers, Data Scientists, and executive stakeholders.

Abilites:

• Translate product requirements and design specifications into well-structured, maintainable code.
• Work independently and manage concurrent tasks across active sprint cycles in a lean team.
• Communicate technical constraints and decisions clearly to Product Managers, Designers, and non-technical stakeholders.
• Embrace accountability and take end-to-end ownership of feature delivery from development through production.
• Incorporate feedback constructively through code review, testing cycles, and retrospectives.

Any combination of education, training, and experience that provides the necessary knowledge, skills, and experience to perform the job's essential functions effectively.

For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $170,000.00p/yr. to $180,000.00p/yr. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant’s skills, job-related knowledge, and experience.

Position reporting into our New York location: $170,000 - $180,000

Positions reporting into our Rhode Island location: $155,000 - $165,000

Positions reporting into our Minnesota location: $155,000 - $165,000

Position reporting into our Delaware location: $145,000 - $155,000

Positions reporting into our Nebraska location: $145,000 - $155,000

Positions reporting into our Missouri location: $145,000 - $155,000

Unless otherwise specified, all posted opportunities are located in the New York or Greater Tri-State office locations.

Overview

Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners. NYBC is part of New York Blood Center Enterprises (NYBCe), which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic and biopharmaceutical organizations. NYBCe’s Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health. To learn more, visit nybc.org. Connect with us on Facebook, X, Instagram, and LinkedIn.