Lead Software Engineer

OfficeSpace Software is a leading AI operating system provider for the built world, focusing on performance and innovation. They are seeking a Lead Full Stack Software Engineer to oversee the development and deployment of AI features, ensuring quality and reliability in their systems while mentoring junior engineers.

Responsibilities:

• Lead the architecture and production evolution of OfficeSpace’s AI platform
• Design and operate Python-based AI services that integrate deeply with our Ruby on Rails backend and React frontend
• Partner with our Devops team to define best practices for deploying and hosting AI agents
• Act as the technical owner for AI reliability—defining guardrails, observability, testing strategies, and failure modes for AI-driven functionality
• Build and evolve full-stack systems with a long-term mindset—maintainable code, extensible architectures, and clean interfaces
• Define and drive performance benchmarks across AI systems, using metrics, profiling, and load testing to improve latency, throughput, and stability
• Design and operate cloud-native, data-intensive systems using GCP, BigQuery, and Kafka to power event-driven and AI-enabled workflows
• Embed quality early—shift-left testing, observability, and validation to ensure predictable, enterprise-ready releases
• Proactively address security, data integrity, and technical debt—especially where AI intersects with customer data and core workflows
• Partner with senior engineers and architects to evaluate designs, align on tradeoffs, and move the system forward
• Mentor engineers through thoughtful code reviews and technical guidance, with room to step into formal people leadership over time

Requirements:

• 7+ years building and evolving production web applications, with demonstrated ownership of complex systems and technical direction
• Strong backend experience (Python or Ruby on Rails preferred; Java, Node.js, or Go welcome) and modern frontend development (React preferred)
• Hands-on experience shipping AI-driven features in production—LLM-based systems, automation workflows, or agentic patterns—with an emphasis on safety, observability, and maintainability
• Deep understanding of cloud-native systems (GCP preferred), data platforms (BigQuery), and event-driven architectures (Kafka)
• Proven ability to design for enterprise-scale performance, reliability, and security
• Comfort operating as a technical leader—navigating differing opinions, driving alignment, and mentoring peers
• A builder's mindset. You move with urgency, think long-term, and take ownership from idea to impact
• An early adopter's curiosity for agentic AI—and the discipline to ship it responsibly
• Ruby on Rails
• GCP
• React
• Java
• Node.js
• Go
• LLM-based systems
• BigQuery
• Kafka