Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. You know that Kubernetes is powerful, but also that it can become a mess fast if the design decisions are not made with scale and maintainability in mind.
Perform complex development activities that may require extensive analysis in areas including cloud deployment and maintenance, as well as distributed system maintenance and scaling
Help scale our processes (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 to support AI model training and inference workloads that grow unpredictably
Build monitoring, alerting, and observability tooling that catches issues before customers do, using tools like Prometheus, Grafana, or equivalent




Scale the platform to handle growing customer demand without degrading performance or reliability
Improve developer velocity by streamlining deployment workflows and eliminating friction in the release process
Establish infrastructure patterns and best practices that the broader engineering team can adopt and scale with
Software development certification
~3 years’ experience, including managing complex platforms that leverage the Kubernetes technology
~ 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, from definition through deployment and monitoring

When something breaks in production, you stay calm, gather data, and methodically work the problem instead of guessing and restarting things
You are curious enough to test new tools and pragmatic enough to know when the old tool is still the right answer

📌 R&D Engineering, Staff Engineer - DevOps (f/m) (Ciudad Real)
🏢 Ansys
📍 Ciudad Real