Platform Engineer

Headquarters: URL: https://catamaran-research.ai/ About Us We are building the cloud compute layer for the agent age: think AWS or GCP, but designed around AI agents as first-class cloud users. Existing cloud primitives were designed for humans clicking consoles or writing static IaC, not for autonomous software that needs to spin up environments, run untrusted code, and manage its own resources at runtime. We are venture-backed and led by three technical co-founders with backgrounds in high-frequency trading, ML engineering, and quantitative research. No recruiters, but we welcome every referral. The Role This is a foundational, greenfield project. You will design and build the platform infrastructure from scratch, collaborating directly with the founding team. You will build the infrastructure that other infrastructure runs on: the multi-cloud substrate, compute fleet management, networking, and the tooling that lets the team ship safely. The workloads are bursty, ephemeral, and untrusted, with millisecond-latency requirements and hard isolation between tenants. You will work with physical infrastructure and GPUs, not just managed cloud services. The goal is production that is boring in the useful sense: deployable, diagnosable, recoverable. What You'll Own Multi-cloud platform infrastructure (AWS, GCP, Azure): networking, IAM, DNS/TLS, and compute fleets. Physical infrastructure and GPU provisioning. IaC (Terraform/Pulumi), CI/CD pipelines, rollback workflows, and release processes. Observability: metrics, logs, traces, alerts, and dashboards. SLOs, incident response, on-call rotation, postmortems, and runbooks. Capacity planning, cost modelling, and cloud spend optimization. You Are A Fit If You can write code, not just glue scripts, and you use AI tools daily to amplify your output. You direct it well, understand what it produces, and know when it's wrong. If you're not AI-native, this isn't the right role. You have worked across multiple cloud providers and understand their networking, IAM, and compute differences. You can debug cloud networking, DNS/TLS, IAM, and host-level failures without a separate ops team. You have experience with physical infrastructure, bare-metal, or GPU environments, not just managed cloud services. You care about reliability as a product feature, not just infrastructure hygiene. You communicate clearly and keep the team informed. When something breaks, people hear it from you first. You stay constructive when requirements change. Uncertainty doesn't block you. You think about the business, not just the code. You spot opportunities, seek out the actual workflow, and prototype solutions within constraints. Useful Experience Building platform tooling or internal developer platforms. Bare-metal provisioning, GPU fleet management, or physical infrastructure at scale. Infrastructure for multi-tenant isolation workloads (VMs, containers, or sandboxes). Low-latency or high-throughput infrastructure where milliseconds matter. Cost modelling and unit-economics visibility for cloud compute. Cross-cloud networking: VPCs, load balancers, DNS, CDN, and connectivity between providers. What we Offer Competitive salary in the geographies we hire in, plus meaningful early-stage equity. Shape the platform infrastructure of a high-potential startup from day one. High autonomy, high trust. You get a problem and the space to solve it, not a task list. A small team where everyone wears multiple hats, with direct access to founders. Distributed across Singapore and Europe; self-sufficient, async-friendly. Apply at catamaran-research.ai/careers . Applications through other channels will not be reviewed. To apply: https://weworkremotely.com/remote-jobs/catamaran-research-platform-engineer