> Markdown version of [/jobs/ext/4619041-lead-software-engineer](https://www.wearedevelopers.com/jobs/ext/4619041-lead-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - **Company:** The Battery - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $225,000 - $260,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cursor, Distributed Systems, Microsoft Copilot, ReactJS, Claude Code, Backend, Front End Software Development - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_71ac0e1a5083d72b4a119c925b1c584d-2325709110 ## About the Role If you don't meet all of these, we still encourage you to apply. We believe code is code, and learning new tools is part of joining a new team. * 8+ years as a full-stack engineer, with a track record of owning both production frontend (React or similar) and backend systems. You're as fluent in the UI layer as in APIs and data. * Experience leading technical direction for a team or product area, not just executing tickets * Fluency with AI-assisted development tools (Copilot, Cursor, Claude Code, etc.) and excited about building AI-powered capabilities into the product * A strong hands-on collaborator with a bias to action. You lead from the front and help the team deliver on their estimates * Deep experience with distributed systems and modern cloud architecture, and the judgment to choose the right tool for the job across the stack * A track record of mentoring engineers and elevating team-wide technical practices ## Description * Own the architecture and roadmap for a core product area end-to-end - from data model to UI - partnering with design and product to ship experiences customers love * Lead the design of systems that surface insight from data at massive scale. Think real-time search across billions of log entries or automatic detection of common user paths across millions of events * Drive adoption of AI/ML in the product, from bug-detection pipelines to full-stack AI-powered recommendations * Set technical direction for scaling our infrastructure cost-effectively while maintaining reliability under heavy load * Raise the bar for the team: mentor engineers, review architecture decisions, and model strong full-stack craftsmanship