Senior Principal Software Engineer

Kforce has a client that is seeking a Senior Principal Software Engineer (Delivery & Architecture) in New York, NY. Overview: We are seeking a hands-on Senior Engineer to drive the development of high-impact, large-scale systems. In this role, you will bridge the gap between high-level architecture and day-to-day execution, guiding engineering teams through complex technical landscapes. You are a senior leader who thrives in ambiguous environments and prioritizes high-quality, reliable delivery. Key Responsibilities:

• Oversee the end-to-end roadmap and implementation of major technical workstreams
• Architect robust solutions for intricate features and distributed systems
• Facilitate seamless collaboration between engineering, product management, and business stakeholders
• Optimize development workflows by identifying bottlenecks and streamlining delivery processes
• Provide high-level mentorship to senior and mid-level engineers to elevate the organization's technical bar
• Maintain the long-term health and scalability of the platform while ensuring alignment with broader infrastructure goals
• Degree in CS or Engineering, or significant equivalent industry experience
• At least 8 years of professional experience developing large-scale, enterprise-ready software
• Deep expertise in managing the delivery of multi-faceted, high-availability systems
• Exceptional architectural judgment paired with a disciplined approach to project execution
• Demonstrated ability to provide technical direction and maintain momentum in fast-paced settings
• A history of successfully mentoring technical staff and influencing cross-team engineering standards
• A strong commitment to operational excellence and long-term system stability

• Cloud Infrastructure: AWS ecosystem (including container orchestration and managed databases)
• Backend & Data: Python-based microservices, relational databases, and in-memory data stores
• Frontend: Modern JavaScript frameworks
• Data Engineering: Large-scale data processing (Spark/ETL) and Medallion architecture patterns
• Tooling: Modern workflow automation, orchestration engines, and AI-enhanced development cycles