Senior AI Infra Engineer - Cloud-Native Platform Mastery

EPAM Systems; United States; Teletrabalho; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking a Senior AI Infrastructure Engineer to design and operate scalable infrastructure for enterprise AI/ML workloads. You will manage containerized applications with Kubernetes, drive automation, and ensure reliability across cloud environments.

The role emphasizes observability, incident response, and platform engineering best practices. Candidates should have 5+ years in infrastructure roles, strong Linux and scripting skills, and hands-on experience with cloud platforms,

Qualificações

• Bachelor's degree in Engineering or related field with 5+ years of relevant experience.
• Hands-on Kubernetes, Docker, and containerized application management.
• Experience on at least one major cloud platform (Azure, AWS, or GCP).
• Proficiency in scripting and automation using Python, Shell/Bash, or similar.
• Familiarity with monitoring/observability tools such as Prometheus, Grafana, ELK/OpenSearch, or Datadog.
• Strong Linux systems administration and platform operations knowledge.
• Background in AI/ML production workloads and reliability engineering.
• Experience with service mesh (Istio/Linkerd) and API gateways, plus networking basics.

Responsabilidades

• Design, build, operate, and optimize scalable infrastructure supporting enterprise AI/ML platforms and workloads.
• Manage and maintain containerized applications and orchestration platforms for high availability.
• Provide operational support for mission-critical production environments.
• Troubleshoot infrastructure, platform, application, and container issues.
• Perform log analysis, RCA, and incident management.
• Implement and maintain monitoring, logging, and observability across platforms.
• Enable AI/ML teams through automation, tooling, and efficient infrastructure practices.
• Collaborate on networking configurations including load balancing, ingress, and traffic management.
• Apply cloud-native architecture patterns and platform engineering best practices.

Conhecimentos

Kubernetes

Docker

Python scripting

Linux admin

Observability

SRE practices

Networking basics

Cloud platforms

Automation

Formação académica

Bachelor's degree in Engineering (B.E/B.Tech) or related field

Ferramentas

Terraform

Helm

Prometheus

Grafana

ELK/OpenSearch

Datadog

Istio/Linkerd

Descrição da oferta de emprego

EPAM Systems is seeking a Senior AI Infrastructure Engineer to design and operate scalable infrastructure for enterprise AI/ML workloads. You will manage containerized applications with Kubernetes, drive automation, and ensure reliability across cloud environments.

The role emphasizes observability, incident response, and platform engineering best practices. Candidates should have 5+ years in infrastructure roles, strong Linux and scripting skills, and hands-on experience with cloud platforms,