AI Platform Infrastructure Engineer

Responsibilities

• Design container architectures for security-sensitive and multi-tenant environments
• Implement network policies and access controls to ensure workload isolation
• Build and maintain CI/CD pipelines for reliable and automated deployments
• Establish Infrastructure-as-Code (IaC) practices to ensure reproducibility and auditability
• Collaborate closely with AI engineers to build a secure, scalable, and operationally excellent platform

Requirements

• Deep hands-on experience with Kubernetes (EKS preferred), including cluster design, networking (CNI, service mesh), RBAC, and security policies
• Strong AWS expertise covering 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 like ArgoCD, GitHub Actions, or Jenkins
• Proficiency in Python and/or Go for tooling and automation
• BS with 5+ years of experience or MS with 3+ years of experience in a platform, infrastructure, or DevOps engineering role

Preferred Qualifications

• Familiarity with AI infrastructure, including agent orchestration frameworks or MCP
• Experience in the financial domain working within regulated and compliance-aware environments
• Experience with container orchestration platforms specifically for autonomous or long-running AI workloads
• Prior experience securing production AI agent workloads at scale

About the Company

Luxoft is a global provider of high-end software engineering services, helping top-tier organizations solve their most complex digital challenges. We partner with industry leaders to build cutting-edge solutions across various sectors, including finance and technology.