Kubernetes Platform Engineer for AI Scale

Slashmobility

País Vasco

Presencial

EUR 65.000 - 95.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Synopsys seeks a Platform Engineer for the SimAI platform to design, deploy, and scale infrastructure built on Kubernetes, Pulumi, and Terraform. You will enable engineers to deploy AI models and manage large-scale compute resources across GPUs and CPUs.

You will own end-to-end platform reliability, implement CI/CD improvements, and mentor teammates in best practices. Join a team delivering production-grade solutions for scalable AI research and deployment.

Formación

  • 3 years of experience managing complex platforms built on Kubernetes.
  • Advanced troubleshooting and incident response skills.
  • Experience with distributed systems design and operation.
  • Ability to work independently and own end-to-end solutions.

Responsabilidades

  • Perform complex development activities in cloud deployment and scalable distributed systems.
  • Use best practices and evangelize through RFCs and mentoring.
  • Help scale release, development environments, CI/CD pipelines.
  • Root cause investigation, automated release testing, production incident solving.
  • Design, deploy, and maintain the platform infrastructure using Kubernetes, Pulumi, and Terraform.
  • Scale GPU and CPU compute resources for AI model training and inference.
  • Build monitoring, alerting, and observability tooling using Prometheus, Grafana.
  • Mentor engineers through RFCs, documentation, and pairing sessions.

Conocimientos

Kubernetes
Shell scripting
Python
TypeScript

Educación

Software development certification

Herramientas

Pulumi
Terraform
NATS
Redis
Grafana
Prometheus

Descripción del empleo

Synopsys seeks a Platform Engineer for the SimAI platform to design, deploy, and scale infrastructure built on Kubernetes, Pulumi, and Terraform. You will enable engineers to deploy AI models and manage large-scale compute resources across GPUs and CPUs.

You will own end-to-end platform reliability, implement CI/CD improvements, and mentor teammates in best practices. Join a team delivering production-grade solutions for scalable AI research and deployment.

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