At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team. We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in? Your Impact Starts Here We’re looking for a Staff Engineer (E5) to help define the architectural future of Homebase’s Core Platform. This role will work across our Identity & Notifications (IN) and Billing & Businesses (BB) teams—two foundational domains that power how customers access, communicate, and transact across Homebase. As a senior technical leader , you’ll serve as both a hands‑on contributor and a mentor. Reporting directly to the Senior Manager, Core Platform , you’ll partner with engineering managers and ICs to design scalable services aligned to our service-oriented (SOA) and event-driven (EDA) architectural vision. You’ll guide engineers through adoption, coach them on best practices, and identify opportunities to improve reliability, performance, and developer velocity across our systems. This is a pivotal role for an experienced platform engineer who thrives on enabling teams, evolving architectures, and solving hard system problems that drive product impact at scale. Serve as the technical bridge across the Identity & Notifications and Billing & Businesses teams, ensuring architectural coherence and reliability. Lead design and implementation of new patterns aligned to SOA and EDA. Mentor engineers across both teams, up‑leveling their design, debugging, and systems thinking skills. Partner with EMs and PMs to clarify technical requirements, scope projects, and sequence foundational work. Identify system bottlenecks, propose architectural improvements, and drive pragmatic solutions. Guide the technical direction of high‑impact initiatives, especially those introducing SOA/EDA patterns into our legacy Rails systems. Model AI‑first development: leverage AI tools for code quality, design exploration, and delivery velocity. Collaborate with stakeholders to ensure scalability, observability, and compliance.