R&D DevOps Platform Engineer for Scalable AI
Ansys
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Descripción de la vacante
Ansys in Gijón, Spain, is seeking a Staff Engineer - DevOps to build and scale production-grade infrastructure for AI simulation workloads. You will own cloud deployments, platform reliability, and scalable CI/CD practices across a distributed team.
The role emphasizes deep expertise in Kubernetes, Pulumi, and modern observability, with a focus on maintainable, self-healing systems that support rapid product iteration.
Formación
- Software development certification required.
- 3 years' experience managing complex Kubernetes-based platforms.
- Strong troubleshooting and distributed systems skills.
- Experience with Kubernetes, Pulumi, NATS, and Redis.
Responsabilidades
- Perform complex development activities in cloud deployment and 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 with Prometheus, Grafana.
Conocimientos
Educación
Herramientas
Descripción del empleo
Ansys in Gijón, Spain, is seeking a Staff Engineer - DevOps to build and scale production-grade infrastructure for AI simulation workloads. You will own cloud deployments, platform reliability, and scalable CI/CD practices across a distributed team.
The role emphasizes deep expertise in Kubernetes, Pulumi, and modern observability, with a focus on maintainable, self-healing systems that support rapid product iteration.
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