Staff Software Engineer

At BioRender, we’re on a mission to accelerate the world’s ability to learn, discover, and communicate science – transforming how knowledge is shared and making science open, collaborative, and easily understandable by all. We’re shaping the future of science communication and are looking for talented individuals to help bring this vision to life! 🚀 Our Enterprise team builds the platform that lets the world’s leading life sciences organizations securely adopt and scale BioRender. As a Staff Software Engineer on this team, you’ll own core platform capabilities like identity, permissions, and enterprise integrations – and help shape how BioRender connects with AI-native workflows and agentic platforms as they become a bigger part of how scientists work. What you'll be doing: Build AI-native integrations: Explore and develop how BioRender connects with emerging AI tools and platforms as protocols like MCP continue to evolve. Advance our enterprise platform: Own and evolve core capabilities across identity, authorization, provisioning, and enterprise integrations. Turn emerging technology into reliable products: Experiment with new AI and agentic capabilities, then strengthen them for secure, robust, and scalable enterprise use. Drive technical direction: Bring structure to ambiguous problems and lead complex initiatives from architecture through implementation, launch, and iteration. Design and build: Develop scalable full-stack solutions with a strong focus on backend systems, APIs, security, reliability, and performance. Raise the engineering bar: Lead technical reviews, mentor other engineers, and improve the architecture and practices that support the team’s long-term growth. What you bring: Staff-level engineering leadership: With 10+ years of software engineering experience, you’ve led complex technical initiatives, influenced architecture, and helped other engineers make better technical decisions. Full-lifecycle ownership: You can take an ambiguous problem from early exploration and system design through implementation, production launch, and continued iteration. Full-stack expertise with backend depth: You have significant experience building scalable systems, APIs, and platform capabilities, with strong judgment around security, reliability, performance, and maintainability. AI-native engineering: You use AI throughout your development workflow and have hands-on experience building LLM-powered products, agentic workflows, MCP integrations, or similar AI-enabled systems. Pragmatic technical judgment: You know how to balance long-term architectural investments with speed, customer needs, and measurable product impact. Clear communication and collaboration: You bring structure to complex problems, explain technical trade-offs clearly, and build alignment across engineering, product, and design. Nice to have: Experience building enterprise SaaS products in an early-stage or high-growth environment. …