Staff DevOps Engineer for AI Platform & Scalable Systems

Ansys; Ávila; Presencial; EUR 70.000 - 95.000; Jornada completa

Descripción de la vacante

Synopsys SimAI platform team seeks a senior platform engineer to design, deploy, and scale distributed infrastructure for AI model training and inference. You will own end-to-end deployment, monitoring, and incident response, collaborating with cross-functional teams to accelerate software delivery.

You will leverage Kubernetes, Pulumi, NATS, and Redis, building robust observability and scalable release processes while mentoring peers and driving best practices across the organization.

Formación

• Software development certification.
• 3 years’ experience managing complex Kubernetes-based platforms.
• Advanced troubleshooting skills.
• Experience with distributed systems (Kubernetes, Pulumi, NATS, Redis).
• Scripting in Bash and programming in Python or TypeScript.
• Independent, end-to-end ownership from definition to deployment and monitoring.

Responsabilidades

• Develop and maintain complex platform infrastructure using Kubernetes, Pulumi, and Terraform.
• Scale GPU/CPU compute resources for AI model training and inference.
• Design, deploy, and monitor platform infrastructure; own releases and CI/CD pipelines.
• Build observability tooling and alerting to catch issues early.
• Mentor engineers through RFCs and documentation.

Conocimientos

Kubernetes experience

Bash scripting

Python or TypeScript

Distributed systems

Troubleshooting

CI/CD

Educación

Software development certification

Herramientas

Kubernetes

Pulumi

NATS

Redis

Descripción del empleo

Synopsys SimAI platform team seeks a senior platform engineer to design, deploy, and scale distributed infrastructure for AI model training and inference. You will own end-to-end deployment, monitoring, and incident response, collaborating with cross-functional teams to accelerate software delivery.

You will leverage Kubernetes, Pulumi, NATS, and Redis, building robust observability and scalable release processes while mentoring peers and driving best practices across the organization.