Requirements

Expertise in Python.
Strong background in backend development with flexibility to work across the stack as needed.
Experience with software and system design patterns, APIs, cloud infrastructure, storage solutions, and data structures.
Strong test design and security fundamentals.
Attention to detail and ability to quickly learn and work within a large existing codebase, especially when handling live, business-critical systems.
Comfort with ambiguity and prioritizing work based on competing signals.

Nice to Haves

Experience with authentication, authorization, or permissioning systems such as OAuth, SSO/SCIM, RBAC, or similar.
Experience with Kubernetes.
Experience building internal platforms or services used by other engineering teams.

Building and improving foundational systems for user, workspace, and permissions management used across products.
Working on either Workspaces & User Management (customer-facing APIs, login, analytics, admin tools) or Permissions & Resources (generic resource and permissioning services for engineering teams).
Collaborating with Sales, Frontend Engineers, and customer teams to incorporate feedback and support enterprise clients with complex organizational needs.
Designing solutions for scalable and secure resource access and permissioning.
Scoping work within a large existing system, ensuring safe rollouts and minimal disruption.
Debugging and operating features post-release using customer reports, logs, and code analysis.
Owning feature development end-to-end, with mentorship from experienced engineers.

Innovative culture engaged in defining the future of AI alongside a high-impact team.
Opportunities for career growth and impact beyond your immediate role.
Professional development support via an annual discretionary stipend.
Annual discretionary stipend for social travel to meet colleagues.
Annual company offsite gatherings in exciting locations.
Monthly co-working stipend for remote employees not near main hubs.