Platform & Infra Engineer for Robotics Stack (AWS)

Enact; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Visa sponsorship

Relocation benefits

Equity participation

In-person setup in Zürich

Zusammenfassung

Enact, based in Zürich, is seeking an experienced DevOps/Platform engineer to advance our robotics software stack. You will maintain Bazel infrastructure, improve the Nix deployment environment, and drive reliable CI/CD pipelines including HITL for rapid, safe software delivery.

You will architect and scale Kubernetes and Ray clusters, manage AWS cloud resources, and collaborate with engineering to optimize performance while ensuring high availability in a fast-paced startup setting.

Qualifikationen

• Strong Bazel infra experience.
• Cloud infra with AWS/GCP and IaC tools like Terraform and Nix.
• Experience with embedded Linux.
• Experience building scalable production environments and troubleshooting.
• Fluent English, with strong communication skills.

Aufgaben

• Maintain Bazel build infrastructure to run smoothly.
• Maintain and improve Nix deployment platform and dev environment.
• Design, implement, and maintain robust CI/CD pipelines including HITL.
• Architect and scale Kubernetes and Ray clusters for training, eval, and CI/CD.
• Manage and scale AWS cloud infrastructure for robotic software stack.
• Collaborate with engineering teams to optimize system performance.
• Monitor system health and respond to incidents to ensure high availability.

Kenntnisse

Bazel

Cloud infra

Terraform

Nix

Embedded Linux

Prod scalability

Networking & security

Monitoring

English proficiency

Ausbildung

Bachelor's degree in CS/EE

Tools

Kubernetes

Ray

CI/CD

Jobbeschreibung

Enact, based in Zürich, is seeking an experienced DevOps/Platform engineer to advance our robotics software stack. You will maintain Bazel infrastructure, improve the Nix deployment environment, and drive reliable CI/CD pipelines including HITL for rapid, safe software delivery.

You will architect and scale Kubernetes and Ray clusters, manage AWS cloud resources, and collaborate with engineering to optimize performance while ensuring high availability in a fast-paced startup setting.