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
Skills Required
- Track record 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
- University degree
- Hands-on experience with Terraform and Kubernetes
- Experience with high-performance computing and AI infrastructure
- Hands-on experience with a major cloud platform
- Experience with ArgoCD, FluxCD, or similar deployment tools and container orchestration workflows
- Based in US time zones, preferably US Pacific Time
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
