Qube Research & Technologies (QRT) is a global quantitative and information technology group that operates across all liquid asset classes. We combine data, research, technology, and trading expertise to deliver scalable, research-driven strategies. As a DevOps / Platform Engineer, you will build and operate infrastructure within QRT's internal AI platform. You will be responsible for Kubernetes and AWS environments supporting model serving, observability, and developer tooling, ensuring they are reliable, secure, and operate with high performance. Your daily responsibilities: Infrastructure & Cloud - Design and operate infrastructure across AWS and on-premise Kubernetes environments supporting AI and LLM workloads. - Manage Kubernetes clusters, including scheduling, multi-tenancy, resource isolation, and GPU-backing. - Develop hybrid cloud strategies balancing performance, cost, and data residency requirements. - Own AWS infrastructure, including networking, IAM, security, and cost management. - Build and maintain infrastructure as code using reusable, versioned tooling. Platform Operations: - Implement and maintain CI/CD and GitOps deployment workflows. - Build observability solutions for system health, utilization, latency, and performance. - Automate scaling and capacity management. - Enforce authentication, rate limiting, auditability, and cost optimization across platform services. - Define and manage service SLOs. Collaboration: - Partner with AI Platform Engineers to support model serving and inference workloads. - Enable teams through platform tooling, onboarding, and self-service capabilities. Your present skills: - 4+ years in Cloud, DevOps, Platform Engineering. - Strong Kubernetes expertise (operations, multi-tenancy, GPU scheduling, Helm/Kustomize). - Hands-on AWS (networking, IAM, EKS, EC2, cost). - Strong Python and Terraform skills. - Experience building and operating CI/CD and GitOps workflows. - Define and manage SLOs. - Pragmatic, ownership-driven approach. Nice to have: - Experience with LLM inference, model serving, or GPU-backed infrastructure. - Familiarity with RAG systems, vector databases or AI data platforms. - Experience building internal APIs or platform services. - Understanding of agentic AI architectures. - Background in high-performance systems. - AWS or Kubernetes certifications. QRT is an equal opportunity employer. We welcome diversity as essential to our success. We offer initiatives and programs to enabling healthy work-life balance.