Kubernetes Platform Engineer for AI Ops

Alten Delivery Centre Spain; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Synopsys is seeking a Platform Engineer to join the SimAI team, building and scaling a SaaS-based simulation platform that deploys AI models with Kubernetes, Pulumi, and Terraform. You will work across time zones to maintain performance, reliability, and observability, enabling engineers to push models from development to production.

You will design, deploy, and maintain scalable infrastructure, investigate incidents, and mentor others through RFCs and docs while growing the platform with best

Formación

• 3 years’ experience managing complex Kubernetes-based platforms.
• Advanced troubleshooting skills.
• Distributed systems design and operation experience (Kubernetes, Pulumi, NATS, Redis).
• Proficiency in scripting with Bash and programming in Python or TypeScript.
• Comfort working independently and owning problems end to end.

Responsabilidades

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

Conocimientos

Kubernetes

Cloud deployment

Distributed systems

Scripting Bash

Python or TypeScript

Troubleshooting

Herramientas

Pulumi

NATS

Redis

Prometheus

Grafana

Terraform

Descripción del empleo

Synopsys is seeking a Platform Engineer to join the SimAI team, building and scaling a SaaS-based simulation platform that deploys AI models with Kubernetes, Pulumi, and Terraform. You will work across time zones to maintain performance, reliability, and observability, enabling engineers to push models from development to production.

You will design, deploy, and maintain scalable infrastructure, investigate incidents, and mentor others through RFCs and docs while growing the platform with best