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About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Design, build and run production infrastructure for AI-driven software systems across several public cloud providers. The role owns environment setup, container orchestration, infrastructure-as-code and deployment automation, with a focus on consistent operation, security and developer speed.
What you'll do
- Build, maintain and harden production infrastructure for AI-driven software systems.
- Own the cloud environment for one major provider while supporting the others.
- Make infrastructure portable so the same setup runs on any major cloud.
- Improve monitoring, security and reliability across systems.
- Deploy and operate applications with container orchestration and infrastructure-as-code.
- Coordinate with application and platform teams so work moves forward without holdups.
- Design CI/CD pipelines that cover build, test and deployment for infrastructure and application code.
- Build shared tooling that handles routine tasks such as provisioning, key renewal, library upgrades, policy audits and deployment coordination.
- Hunt down repetitive operational chores across engineering and remove them with code and self-serve utilities.
- Promote an automate-it-once mindset and treat automation as production code.
Requirements
What we're looking for
- Track record of structuring continuous delivery workflows and declarative, repository-driven deployment approaches.
- Experience in cloud infrastructure or AI infrastructure engineering.
- Background developing internal tooling that engineers can use without manual help.
- A university degree.
- Hands-on work with Terraform and Kubernetes.
- Experience with high-performance computing and AI infrastructure.
- Hands-on experience with a major cloud platform.
- Experience with Argo-style deployment tools such as ArgoCD or FluxCD and container orchestration workflows.
- Based in US time zones, US Pacific Time.
Benefits
Compensation and benefits
- Base salary: USD 230K to 275K per year
Location and work model
- Remote (US)
- Fully remote within US time zones, with a preference for US Pacific Time
- Full-time