Platform Engineer
Bangun infrastruktur platform cloud untuk AI agents
Platform Engineer di Catamaran Research akan membangun infrastruktur platform cloud dari awal untuk mendukung AI agents. Ini melibatkan pengelolaan multi-cloud, provisioning GPU, dan memastikan kinerja dan keamanan yang tinggi. Kerjaan ini dilakukan secara langsung dengan tim pendiri di lingkungan remote.
Kenapa Menarik?
Bergabung dengan tim pendiri yang berpengalaman di bidang trading, ML, dan riset kuantitatif
Tanggung Jawab Utama
- Membangun infrastruktur platform multi-cloud (AWS, GCP, Azure)
- Mengelola provisioning GPU dan infrastruktur fisik
- Mengembangkan IaC, CI/CD pipelines, dan proses rilis
- Membuat observability tools: metrics, logs, traces, alerts, dan dashboards
- Melakukan capacity planning, cost modeling, dan optimasi cloud spend
Persyaratan
- Paham multi-cloud providers dan perbedaan networking, IAM, dan compute
- Pengalaman dengan physical infrastructure atau GPU environments
- Mampu debug cloud networking, DNS/TLS, IAM, dan host-level failures
- Mampu menulis code dan buat tools yang berguna bagi tim
- Komunikasi yang jelas dan konstruktif
Skills Wajib
Keywords
Lihat Deskripsi Asli dari WeWorkRemotely
Deskripsi asli dari WeWorkRemotely
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. 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. You build tools and automation that other engineers depend on. 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. You're excited to work closely with founders and shape a product from the ground up. 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. Compensation And Logistics Competitive salary and early-stage equity. Singapore preferred; fully remote with meaningful Singapore-time overlap. Full-time. Contact If this excites you, we'd love to hear from you at careers@catamaran-research.ai To apply: https://weworkremotely.com/remote-jobs/catamaran-research-platform-engineer
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