Role Summary:

• You will shape the technical future of OfficeSpace.

• As our Principal Software Engineer (Ruby/React), you don’t just ship features—you architect systems that scale globally. You lead with clarity. You raise the bar. You design resilient, internet-scale applications that power the modern hybrid workplace.

• We provide the platform. You drive the vision.

What You’ll Do:

• 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.

What You Bring:

• 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.

• Hands-on experience with GraphQL (preferred).

• Experience integrating AI development tools (e.g., code generation, static analysis, automated testing assistants) into engineering workflows.

• 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.