Senior Backend Engineer

Design and build the platform's backend services and APIs — secure, multi-tenant, and engineered to enterprise, regulator-grade standards for large-scale organisations — using modern AI-assisted workflows to move fast without compromising quality. What you'll do • Design and build backend services and the platform's GraphQL API. • Model complex IP-lifecycle domains (patents, trademarks, renewals, multi-jurisdiction rules). • Implement multi-tenant data isolation and RBAC. • Own integrations with external systems (ERP, CRM, PTO APIs). • Own performance, reliability, and security (SSO/MFA, encryption, secure SDLC) aligned with NCA controls and PDPL. • Ship fast with AI-assisted development (e.g., Claude Code) and build the AI guardrails — review gates, automated tests, and security checks — that keep that speed safe. • Reason about the demands of a large-scale, multi-stakeholder programme — scale of operations, non-functional requirements (availability, performance, security), integration surface, and the delivery expectations of an enterprise or government client — and turn them into sound backend decisions. • Set engineering standards, review code, and mentor other engineers. • And all responsibilities given by the direct manager. What we look for • 8+ years building production backend systems, with proven delivery for large-scale organisations — enterprise or government platforms, high data volumes, and significant integrations or partnerships. • Able to understand and navigate the complexity of large-scale enterprise and government projects: scale of operations, technical and regulatory requirements, multiple stakeholders, and overall project expectations. • Deep experience with a modern backend framework — Ruby on Rails strongly preferred. • Expert with AI coding tools such as Claude Code to ship quickly, with a track record of building AI guardrails so speed never compromises correctness or security. • Expert relational database design (PostgreSQL) and background processing (e.g., Sidekiq). • Proven GraphQL API design — schema, resolvers and performance (graphql-ruby preferred) — and secure authentication flows (SSO, MFA). • Track record delivering enterprise-grade, multi-tenant SaaS at scale, and comfortable with the complexity that comes with it. • Experience in, or genuine comfort working in, a fast-paced startup environment: self-managed time, adapting to changing priorities, following tasks through, and delivering on short timelines when needed. • Preferred — experience in government or regulated environments. • Preferred — familiarity with Google Cloud (Cloud Run, me-central2). • Preferred — domain exposure to IP or legal technology. • Preferred — bilingual (Arabic + English). Show more Show less

What we look for: 8+ years building production backend systems, with proven delivery for large-scale organisations — enterprise or government platforms, high data volumes, and significant integrations or partnerships. Deep experience with a modern backend framework — Ruby on Rails strongly preferred. Expert with AI coding tools such as Claude Code to ship quickly, with a track record of building AI guardrails so speed never compromises correctness or security. Expert relational database design (PostgreSQL) and background processing (e.g., Sidekiq). Proven GraphQL API design — schema, resolvers and performance (graphql-ruby preferred) — and secure authentication flows (SSO, MFA). Track record delivering enterprise-grade, multi-tenant SaaS at scale. Experience in, or genuine comfort working in, a fast-paced startup environment. Preferred — government or regulated environments. Preferred — Google Cloud (Cloud Run, me-central2). Preferred — domain exposure to IP or legal technology. Preferred — bilingual (Arabic + English).

Design and build backend services and the platform's GraphQL API. Model complex IP-lifecycle domains (patents, trademarks, renewals, multi-jurisdiction rules). Implement multi-tenant data isolation and RBAC. Own integrations with external systems (ERP, CRM, PTO APIs). Own performance, reliability, and security (SSO/MFA, encryption, secure SDLC) aligned with NCA controls and PDPL. Ship fast with AI-assisted development (e.g., Claude Code) and build the AI guardrails — review gates, automated tests, and security checks — that keep that speed safe. Reason about the demands of a large-scale, multi-stakeholder programme — scale of operations, non-functional requirements (availability, performance, security), integration surface, and the delivery expectations of an enterprise or government client — and turn them into sound backend decisions. Set engineering standards, review code, and mentor other engineers. And all responsibilities given by the direct manager.