Job Description

Your 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.