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Salary
$230k – $275k per year
Location
Remote (United States, UTC-8 – UTC-5 hours)
Seniority
Senior
Visa
Offered visa sponsorship in 32 of its adverts here in 24 months
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. Raydar scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Raydar is a recruitment firm that fills technical and commercial roles for technology companies and venture-backed startups. Its Workable board lists openings such as senior software, backend, security, product and AI engineers and technical recruiters, mostly in San Francisco and New York. These vacancies are posted on behalf of its client companies.

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

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