Luxoft

AI Platform Infrastructure Engineer

Luxoft$175K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep hands-on experience with Kubernetes, preferably EKS, including cluster design and security policies.
  • Strong expertise in AWS, focusing on VPC architecture and security groups.
  • Proficiency with Infrastructure-as-Code tools like Terraform or CloudFormation.
  • Experience in designing container architectures for multi-tenant workloads.
  • Familiarity with GitOps workflows and CI/CD tools such as ArgoCD and Jenkins.
  • A BS degree with 5 years or an MS degree with 3 years in platform/infrastructure/DevOps engineering.
  • Proficient in Python and/or Go for automation.

Responsibilities

  • Design container architectures for security-sensitive and multi-tenant environments.
  • Implement network policies and access controls for workload isolation.
  • Build CI/CD pipelines to ensure reliable deployment of applications.
  • Establish infrastructure-as-code practices for reproducibility and auditability.
  • Collaborate closely with AI engineers, focusing on platform security and scalability.

Benefits

  • Opportunity to work in a top-tier Hedge Fund environment with cutting-edge AI workflows.
  • Engagement in platform infrastructure design for cloud-native deployments.
  • Focus on secure and scalable operations, enhancing overall operational excellence.
Full Job Description
Project description

Our partner - a top tier Hedge Fund - keeps expanding AI workflows. We are looking for a platform infrastructure engineer to design, build, and operate cloud-native infrastructure for deploying AI workloads safely and reliably at scale.
Compensation is 175000 USD Gross per year based on your interview results.

Responsibilities

The engineer will 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, and establish infrastructure-as-code practices for reproducibility and auditability. They will work closely with AI engineers, but their primary focus is the platform itself - making it secure, scalable, and operationally excellent.

Comencation for NYC location 100000-120000 USD Gross per year and based on the interview results.

Skills

Must have

Deep hands-on experience with Kubernetes (EKS preferred) - cluster design, networking (CNI, service mesh), RBAC, and security policies

Strong AWS expertise - 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)

BS + 5 years or MS + 3 years in a platform/infrastructure/DevOps engineering role

Python and/or Go for tooling and automation

Up-to-date with the latest advancements in cloud-native infrastructure, container security, and AI workload deployment

Nice to have

Familiarity with AI infrastructure -agent orchestration frameworks, MCP

Experience in the financial domain - regulated environments, compliance-aware infrastructure

Experience with container orchestration platforms for autonomous or long-running AI workloads

Prior experience securing production AI agent workloads at scale

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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