Cloud Architect - NeuraGYM (human)

About the role

\n\nYour mission & challenges • You lead the design and development of our cloud architecture for the NEURAGym Physical AI training platform - the system that turns real-world robot interactions into trained AI models. • You take ownership of the overall technical direction: from domain modelling and service design through to infrastructure, operations, and long-term platform evolution. • You work closely with and provide technical leadership to the Software Engineers on the team. • You set the architectural standards, make the hard design calls, and ensure the platform is scalable, maintainable, and aligned with where the product is heading. • Owning the end-to-end cloud architecture of the NEURAGym platform — from data ingestion at the Gym edge through processing pipelines to model training and deployment. • Designing and evolving domain-driven, self-contained services on AWS, with a strong bias towards serverless and managed services. • Leading architecture decisions across service boundaries: API design, event-driven data flows, storage strategies, and cross-service consistency models. • Setting and enforcing standards for Infrastructure as Code, CI/CD, observability, and security across the team. • Translating product and AI research requirements into concrete, implementable architectural designs, working with product managers, ML engineers, and robotics teams. • Identifying and managing technical debt proactively; keeping the platform evolvable as requirements grow rapidly. • Mentoring Software Engineers and acting as the technical anchor point for the Physical AI Platform Engineering group. What we can look forward to • 8+ years of experience designing and operating modern cloud systems, with at least 3 years in a cloud architect or principal engineer role. • Deep expertise in AWS, with strong hands-on experience in serverless and managed services. • Proven ability to design systems using domain-driven design (DDD), self-contained systems (SCS), and service-oriented architecture principles. • Strong understanding of event-driven architecture, data pipeline design, and asynchronous processing patterns at scale. • Solid experience with Infrastructure as Code (AWS CDK preferred, Terraform also valued). • Strong programming skills, preferably in TypeScript and Python; ability to contribute code, not just diagrams. • Experience designing data platforms or ML infrastructure is a strong plus, familiarity with MLOps toolchains is valued. • Track record of technical leadership: setting standards, guiding engineers, and driving architectural alignment across teams. • Strong English communication skills; ability to present and defend architectural decisions to both technical and non-technical stakeholders. German is a plus.