Staff Software Engineer, Surfaces

In this fully remote role, you will shape the architecture and modernization of critical backend systems that underpin enterprise customer experiences within an AI-powered technology environment. You will take technical ownership of core governance capabilities, including authentication, authorization, organizational structures, permissions, and billing. Working at the intersection of platform engineering, enterprise requirements, and AI-native product development, you will build secure, composable, and scalable foundations for the next generation of intelligent workflows. As a senior individual contributor, you will influence architectural decisions while remaining deeply hands-on with critical code. You will collaborate closely with product, platform, and engineering leaders to translate complex business needs into reliable platform capabilities. This is an opportunity to drive meaningful technical direction, mentor fellow engineers, and strengthen the systems essential to enterprise-scale growth.

• Strong backend engineering experience, including previous ownership of complex, business-critical systems and a demonstrated ability to prepare them for enterprise-scale use.

• Deep expertise in at least one of the following areas: authentication and authorization, multi-tenant systems, or billing platforms, with experience designing and architecting these systems rather than simply maintaining them.

• Proven experience building backend systems for enterprise customers, with a strong understanding of the security, governance, compliance, and reliability requirements of enterprise environments.

• Excellent architectural judgment, including the ability to balance short-term delivery needs with long-term platform strategy and make informed build-versus-buy-versus-refactor decisions.

• A track record of technical leadership as an individual contributor, including mentoring engineers, influencing architectural direction, and improving engineering practices and code quality.

• A strong preference for hands-on engineering, with the ability and motivation to write and review critical-path code rather than focus exclusively on high-level architecture.

• Working knowledge of AI concepts and their application to backend engineering, including large language models (LLMs), AI agents, tokens, credits, context windows, retrieval-augmented generation (RAG), and data governance.

• A growth-oriented mindset and a desire to deepen technical expertise and increase impact as an individual contributor.

• Experience with governance systems, including authentication and authorization, roles and permissions, and multi-tenant organizational models, is an advantage.

• Familiarity with billing systems and usage-based pricing models is a plus.

• Experience supporting enterprise requirements such as single sign-on (SSO), SAML, SCIM, audit logging, and compliance frameworks such as SOC 2 and ISO 27001 is desirable.

• Familiarity with AI-native product development, including LLM integrations, agentic workflows, and RAG systems, is beneficial.

• Ability to collaborate effectively with product and engineering stakeholders and communicate complex technical decisions clearly.