Principal Software Engineer

OfficeSpace Software provides the leading AI operating system for the built world, helping teams plan, connect, and perform in the workplace. As a Principal Software Engineer, you will architect systems that scale globally, leading the technical direction for Ruby on Rails and React applications while mentoring engineers and driving impactful initiatives.

Responsibilities:

• Architect and evolve internet-scale systems with performance, reliability, and scalability as first principles
• Lead the technical direction for Ruby on Rails and React applications across the platform
• Design clean, extensible APIs and modern front-end architectures that deliver fast, intuitive user experiences
• Orchestrate AI-assisted development workflows—using AI agents to accelerate code scaffolding, documentation, test generation, refactoring, and dependency analysis
• Own architectural decisions across services, databases, and infrastructure—including MariaDB, Redis, and Elasticsearch
• Use Kubernetes to scale Rails applications to handle Enterprise traffic
• Guide multiple high-impact initiatives in parallel, ensuring secure, well-tested, production-ready releases
• Mentor engineers to think in systems, write maintainable code, and leverage AI responsibly to increase velocity without sacrificing quality
• Proactively identify technical debt and scalability risks—and drive pragmatic solutions before they become bottlenecks
• Partner with Product, Design, and Leadership to evaluate trade-offs and deliver exceptional experiences across browsers and devices
• Continuously evaluate emerging technologies—including AI tooling—to strengthen platform performance and team effectiveness

Requirements:

• 10+ years of backend engineering experience, with deep expertise in Ruby on Rails
• 10+ years of experience building modern front-end applications with JavaScript (ES6+) and React
• Proven experience designing and scaling relational databases (MariaDB) and working with Redis and Elasticsearch
• Demonstrated ability to define and influence architectural direction across large systems
• Experience leading engineers through complex technical decisions while fostering a culture of trust and high standards
• Strong judgment—knowing when to automate, when to refactor, and when to rethink from first principles
• Clear communicator who can translate technical complexity into practical decisions
• Hands-on experience with GraphQL
• Experience integrating AI development tools (e.g., code generation, static analysis, automated testing assistants) into engineering workflows