Platform Engineer

• Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services.
• Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated.
• Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources.
• Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing.
• Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments.
• Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning.
• Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle.
• Automate the life cycle of single-tenant, managed deployments
• Are passionate about building platforms that empower developers and researchers.
• Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments.
• Thrive on optimizing hybrid infrastructure for performance, cost, and reliability.
• Are excited to work at the intersection of modern platform engineering and cutting-edge AI.
• Love to treat infrastructure as a product, continuously improving the developer experience.
• 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
• Proven, hands-on experience building and managing production infrastructure with Terraform.
• Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment.
• Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads.
• Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management.
• Strong scripting and automation skills (e.g., Python, Go, Bash).
• Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling.
• Familiarity with FinOps principles and cloud cost optimization strategies.
• Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions.
• Experience in a multi-region or hybrid cloud environment.

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