[Hiring] Lead Software Engineer @OfficeSpace Software

Role Description

As our Lead Full Stack Software Engineer, you will own the future of how OfficeSpace builds, hosts, monitors, and deploys AI features, from Chatbots to Customer facing MCP Servers to Autonomous agents that handle day to day facilities management tasks. We move fast. We expect precision. And we trust you to own outcomes.

• 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.

Qualifications

• 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.

Benefits

• High-Performance Culture: We believe in accountability, focus, and drive, recognizing and rewarding those who push boundaries and achieve excellence.
• Ownership and Accountability: We trust our employees to take full ownership of their roles, providing autonomy to innovate and support to succeed.
• Technology-Forward: We integrate AI and advanced solutions across our platform to enhance productivity, customer experience, and process efficiency.
• Growth Mindset: Continuous learning and improvement are integral to our culture, encouraging our team to embrace challenges and seek knowledge.
• Innovation and Agility: We foster a dynamic environment where fresh ideas and bold solutions are celebrated, turning challenges into opportunities.
• Collaborative, Results-Driven Environment: We value purposeful collaboration that leads to shared success and stronger results.
• Competitive Benefits and Rewards: We offer comprehensive and competitive benefits packages globally, designed to support our team’s health, well-being, and financial security.