Job Opportunities API

Motorica is at a breakthrough moment. We are revolutionizing the game animation industry with products rooted in our proprietary AI models, delivering AAA quality character animations to game studios at a fraction of the traditional cost and time. We are scaling rapidly due to early demand from major game studios. Combining our proprietary motion capture data with state of the art diffusion models, Motorica lets teams generate dynamic, lifelike motion in minutes instead of weeks. We remove one of the biggest bottlenecks in game and cinematic production and empower studios to focus on creativity, iteration and building truly living worlds. The Role We are looking for a Platform Engineer to take ownership of Motorica's cloud infrastructure and developer platform. This is a leadership role — you will be the technical authority on how our systems are built, deployed, secured, and scaled. Our infrastructure spans a multi-cloud environment managed entirely through Infrastructure as Code, covering GPU-accelerated ML serving, event-driven pipelines, API gateways, managed databases, self-hosted CI/CD runners, compliance tooling, and multi-environment deployments. We operate at the intersection of platform engineering and ML infrastructure, and we need someone with deep expertise to drive this forward. What You'll Own Infrastructure as Code : Design, build, and maintain reusable IaC modules across a multi-cloud environment. Manage multi-environment deployments with proper state management, versioning, and security boundaries. CI/CD & Developer Experience: Own our deployment pipelines and monorepo build system. Streamline the path from code to production and improve developer self-service. ML Infrastructure & GPU Workloads: Maintain and scale our GPU-accelerated ML serving layer, experiment tracking, and ML job orchestration on Kubernetes. Cloud Platform & Networking: Manage API gateways, load balancers, DNS, VPC networking, and our multi-cloud footprint including IAM and credential federation. Security & Compliance: Own our security posture: compliance tooling, threat detection, audit trails, least-privilege IAM, and secrets management across all environments. Reliability & Observability: Own monitoring, alerting, SLOs/SLIs, incident response tooling, and status page infrastructure. Cost Management: Optimize cloud spend across GPU workloads, Kubernetes clusters, storage, and compute. Maintain budget monitoring and alerting. What We're Looking For Must Have 5+ years of experience in Platform Engineering, SRE, or DevOps — ideally in a high-growth or AI/ML-heavy environment. Deep cloud infrastructure expertise across at least one major cloud provider, with working knowledge of a second. Experience with managed compute, serverless, managed databases, messaging, IAM, networking, secrets management, and monitoring. Strong IaC skills : you've designed module libraries, managed multi-environment state, and understand the difference between good and great infrastructure code. Experience with Terraform or OpenTofu. K ubernetes experience : you've operated clusters in production, managed Helm deployments, and understand node pool autoscaling, workload identity, and cluster networking. CI/CD expertise: GitHub Actions or equivalent, OIDC-based authentication, self-hosted runners, automated infrastructure pipelines. You've built plan/apply workflows with proper security controls. Networking fundamentals: l oad balancers, VPC networking, DNS management, SSL/TLS, API gateways. You understand how traffic flows from the internet to a container. Security mindset: IAM least-privilege, secrets management, compliance tooling, audit logging, email authentication. You think about blast radius. Autonomous and expert: you identify gaps, propose solutions, and execute. You bring deep domain expertise and can make sound archi