Intangible - Senior Platform Engineer

• Provide technical leadership and architectural direction for Intangible's platform layer • Design and evolve infrastructure for our AI-assisted, collaborative tools at scale • Develop highly efficient storage and CDN strategies for large binary assets (e.g., 3D scenes, generated media) • Lead the implementation of backend services and APIs with a focus on security, modularity, and performance • Design and maintain robust API contracts for external developers and partners • Define and implement infrastructure-as-code, CI/CD, observability, and system health tooling • Ensure our systems meet high availability targets ("four nines") while remaining flexible for rapid iteration • Integrate 3rd-party services including AI pipelines, payments, analytics, and user auth1 • Collaborate across product, design, and ML to translate creative tooling needs into backend capabilities • Focus on cost management and cloud spend optimization, particularly for large-scale AI workloads • Key Competencies • Key Competencies • Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) • Practical expertise with cloud infrastructure and IaC tools • Practical use of AI/ML models in production (e.g., inference pipelines) • Proven experience with asynchronous job queues and task orchestration, especially related to scaling under AI workloads (e.g., for agentic plans). • Deep understanding of distributed systems, WebSockets, WebTransport, and realtime sync • Optimizing schema and large data sets for use by LLMs • Architecting and deploying multi-tenant systems with strong role, permission, and tenant isolation • Managing schema migrations and cross-environment data synchronization safely • Comfort working in a fast-moving, creative environment with a highly interdisciplinary team • Bonus Qualities • Bonus Qualities • Expertise in GCP and/or PostgreSQL • Experience with 3D tools or creative platforms • Experience with media and content management systems • Passion for building creative tools and empowering artists • Experience using AI tools to improve engineering workflows (e.g., code generation, debugging, testing, documentation), or strong openness to adopting them.