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Motorica is at a breakthrough moment. We’ve built a generative AI animation platform that creates AAA-quality character animation at a fraction of the traditional cost and time. Already recognized as a leader in the rapidly emerging motion modality; one of the six fundamental generative AI modalities alongside image, video, audio, text, and geometry, we’re transforming how studios produce lifelike, dynamic animation. By combining our proprietary Motion Capture dataset with cutting-edge diffusion models, we're reducing one of the biggest bottlenecks in gaming and cinematic production: the need for expensive, time-consuming MoCap sessions or manual keyframing. Studios that once spent hundreds of thousands of dollars on animation can now create production-ready sequences in minutes. With early demand from major studios and rapid scaling ahead, we now need to ensure our own teams can build, test, and deploy faster, more securely, and more reliably than ever. That’s where you come in. As our first Platform Engineer, you will be the foundation of our internal developer platform. You’ll design and maintain the systems that keep our development capacity high while ensuring security, compliance, and cost efficiency. You’ll define the “paved road” for developer experience, implement security best practices, and optimize our cloud usage for AI/ML workloads. Your work will directly influence how quickly we deliver breakthroughs to customers, while keeping our platform resilient and compliant.
Job Responsibility:
Provide common infrastructure guidance, reusable patterns, and automated tooling to engineering teams
Own the “paved road” for developers, reducing friction and cognitive load
Champion and implement security best practices across the entire platform
Play a key role in achieving ISO 27001 certification through technical implementation and evidence gathering
Build and operate a highly reliable and cost-efficient platform, with particular focus on optimizing GPU-heavy AI/ML workloads
Manage CI/CD systems (GitHub Actions, GitLab CI) and track key metrics like build times, deployment frequency, and failure rates
Oversee cloud environments (AWS, GCP), including health, security, and cost reporting
Lead security scans, audits, and vulnerability remediation
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