Jobs / Millennium Management
Platform Engineer
Millennium Management · London, ENG, United Kingdom
London, ENG, United KingdomExp: 3-5 yrsOnsite
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Not specified
Job summary
Design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale. Own the Kubernetes platform layer to enable secure cloud deployment of AI workloads, addressing challenges like multi-tenant isolation and network security. Establish platform infrastructure best practices for the firm's broader cloud-native footprint.
Qualifications
- BS + 5 years or MS + 3 years in a platform, infrastructure, or DevOps engineering role
- Deep hands-on experience with Kubernetes (EKS preferred), including cluster design, networking (CNI, service mesh), RBAC, and security policies
- Strong AWS expertise, including VPC architecture, IAM, ECS/EKS, networking, and security groups
- Proficiency with Infrastructure-as-Code tools such as Terraform, CloudFormation, or Pulumi
- Experience designing container architectures for multi-tenant or security-sensitive workloads
- Familiarity with GitOps workflows and CI/CD platforms (ArgoCD, GitHub Actions, Jenkins)
- Proficiency in Python and/or Go for tooling and automation
- Technical leadership, including driving architectural decisions and mentoring others
- Desire to deliver cutting-edge infrastructure in a fast-moving environment
- Ability to stay up-to-date with advancements in cloud-native infrastructure, container security, and AI workload deployment
Responsibilities
- Design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale
- Own the Kubernetes platform layer for safe cloud deployment of AI workloads
- Design container architectures for security-sensitive and multi-tenant environments
- Implement network policies and access controls for workload isolation
- Build CI/CD pipelines for reliable deployment
- Establish infrastructure-as-code practices for reproducibility and auditability
- Work closely with AI engineers, focusing on platform security, scalability, and operational excellence
- Establish platform infrastructure best practices across the firm’s broader cloud-native footprint
Skills
GoKubernetesAWSTerraformGitHubJenkinsPythonArgo CDCloudFormationECSEKSGitHub ActionsIAMPulumi
Degrees
BSMS
Relocation
No