Platform Engineer

Job description

By combining proprietary motion capture data with state-of-the-art diffusion models, we enable game studios to generate dynamic, lifelike motion in minutes instead of weeks, removing one of the biggest bottlenecks in game and cinematic production. We are scaling rapidly due to early demand from major game studios and are at a breakthrough moment. The Role We are looking for a Platform Engineer - our first - to build the foundation of Motorica's internal developer platform. You'll define the “paved road” for developer experience while keeping our systems secure, compliant, and cost-efficient. It's a hands-on role with a lot of ownership: you set the technical direction, but you also do the work. 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. Who you are You’re comfortable being the only person who owns a domain, you’re biased toward shipping over perfecting, calm under incidents, treats developer experience as a product with internal customers, opinionated but not precious about being overruled. 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. A Typical Week • Manage CI/CD systems (GitHub Actions, GitLab CI) and track build times, deployment frequency, and failure rates. • Oversee cloud environments (AWS, GCP) - health, security, and cost reporting. • Lead security scans, audits, and vulnerability remediation. • Maintain the observability stack (Prometheus, Grafana, Datadog, GCP Logging) with meaningful dashboards and alerts. • Act as point of contact for the ML Research team's infra requests (GPU access, specialized pipelines). • Be the first line of support for developer infrastructure issues, and own the platform roadmap. What We're Looking For Must Have • Proven 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. • Kubernetes 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 - load balancers, VPC networking, DNS management, SSL/TLS, API gateways. You understand how traffic flows from the internet to a container. • Autonomous and expert - you identify gaps, propose solutions, and execute. You bring deep domain expertise and can make sound architectural decisions independently. • Strong communication skills - you'll interface with backend, frontend, and ML engineers daily. You translate infrastructure into clarity, not complexity. Nice to Have • Experience driving adoption of AI-assisted workflows (coding agents, agentic automation, internal LLM tooling) including setting good practices • Experience with GPU workloads in the cloud (inference servers, GPU scheduling, multi-container patterns). • Familiarity with MLOps tooling (experiment tracking, ML job orchestration, model registries). • Experience with monorepo build systems (Pants, Bazel, Buck). • Knowledge of Python and/or Go - enough to understand the services you’re deploying and contribute to build tooling. • Experience with event-driven architectures (message queues, event triggers, workflow orchestration). • Experience implementing FinOps practices (cost allocation, budget alerts, reserved capacity planning). What We Offer • Competitive compensation • Stock Options program you're building the foundation, you should own a piece of it. • Shape the platform you define the standards, tooling, and culture. • Work directly with world-class AI researchers and engineers solving cutting-edge problems in gaming and animation. • Retirement Plan • Health Benefits (5,000 SEK/year) • Life Insurance / Health Insurance / Injury Insurance Why Join Us? You will be the person who makes everything else possible. Every ML model we serve, every animation we generate, every API call from a game studio; it all runs on the platform you build and maintain. If you excel in this role, you will find no shortage of opportunities to grow with us as we scale globally. You will work directly with the most creative teams in gaming, see the impact of your work immediately, and help define a new era of generative animation. This is a rare opportunity to join a company at the intersection of AI and gaming, where the infrastructure challenges are genuinely interesting, multi-cloud orchestration, GPU workloads at scale, event-driven ML pipelines, and where your work has direct, visible impact on the product.