Middle DevOps Engineer

EPAM Systems, Inc.via Glassdoor

RemotoBrPlenoCLTHoje

Salário Estimado

R$ 7.425,00 - R$ 11.138,00

Tecnologias

Node Python Go Azure Kubernetes Git GitHub IA

0de 100

Excelente

Score da Vaga

Descrição da Vaga

We are expanding our delivery team with a Middle DevOps Engineer focused on reliable Kubernetes and Linux platforms for AI and research workloads.

You will help automate and optimize GPU-enabled orchestration with Kubernetes and Volcano, supporting scheduling, quotas, and scripting in Python and Shell in a client-facing environment.

Apply to help build efficient, scalable compute environments Responsibilities • Deploy and operate GPU-enabled Kubernetes clusters and standalone Linux compute environments to keep scheduling and performance efficient

•Implement and support Volcano job scheduling, including queue setup, POD execution, GPU allocation, and namespace quota enforcement • Administer Kubernetes environments end-to-end, covering namespaces, RBAC, resource quotas, and workload isolation approaches

•Build and maintain Python and Shell automation to simplify job submission, resource provisioning, and system reporting • Collaborate with orchestration, optimization, and observability teams to raise scheduling efficiency, capacity utilization, and researcher workflows

•Monitor platform health and resource usage, sharing data and feedback to meet optimization and reporting needs • Recommend improvements to infrastructure, tooling, and automation workflows to boost performance, scalability, and usability

•Ensure operations provide a smooth and effective experience for researchers running diverse AI and computational workloads Requirements • Hands-on experience with 2+ years in DevOps or infrastructure engineering roles supporting complex, large-scale environments

•Expert-level knowledge of Kubernetes administration and orchestration, including namespaces, POD scheduling/distribution, PVC, NFS, and resource quota management • Practical experience with Volcano scheduler for GPU job execution, queue configuration, workload prioritization, and Kubernetes integration

•Proven background managing GPU cluster environments in Kubernetes and on standalone Linux compute nodes • Advanced scripting skills in Python for infrastructure automation plus proficiency with UNIX Shell scripting (e.g., Bash)

•Strong Linux system administration capability, including troubleshooting, performance tuning, and configuration management • Solid understanding of infrastructure automation and orchestration concepts and related tooling

•Fluent English communication skills (spoken and written) for direct client interaction Nice to have • Helm for Kubernetes application package management

•Monitoring and observability tooling, especially Prometheus, Grafana, and Loki • Infrastructure as Code tools such as Terraform

•Multi-cloud Kubernetes exposure, including Amazon EKS and Google GKE • Azure Networking knowledge, including VPN, ExpressRoute, and network security

•Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Claude) • Experience with hybrid (cloud + on-premises) scheduling and resource optimization

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Informações

NívelPleno

ContratoCLT

LocalBr

RemotoSim

MoedaBRL

PublicadaHoje

FonteGlassdoor

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