Cloud Infrastructure Engineer (AI)

TL;DR

Cloud Infrastructure Engineer (AI): Building and optimizing cloud platforms and infrastructure to support advanced AI software development with an accent on scalability, automation, and infrastructure reliability. Focus on implementing Infrastructure-as-Code, managing CI/CD pipelines, and ensuring secure deployment environments for complex autonomous driving systems.

Location: Must be based in or able to commute to Sunnyvale, California, USA

Company

hirify.global is a leading developer of Embodied AI technology, creating autonomous driving software designed to perceive and navigate complex environments.

What you will do

• Build and maintain robust cloud infrastructure on Azure to support development, testing, and production workflows.
• Develop and refine Infrastructure-as-Code implementations using tools like Terraform and Ansible.
• Optimize and scale CI/CD pipelines to ensure efficient software delivery.
• Monitor and troubleshoot cloud system performance to maintain high reliability and cost efficiency.
• Manage containerized workloads and orchestration platforms including Docker and Kubernetes.
• Implement observability solutions such as metrics and logging to facilitate rapid incident response.

Requirements

• 2–5 years of experience in DevOps or cloud infrastructure engineering roles.
• Hands-on proficiency with major cloud platforms such as Azure, AWS, or GCP.
• Solid experience with Infrastructure-as-Code practices and deployment automation.
• Understanding of networking fundamentals, cloud architecture, and system security best practices.
• Strong problem-solving abilities and experience troubleshooting distributed systems.
• Proficiency with Linux environments and shell scripting.

Nice to have

• Experience with container orchestration tools like Kubernetes.
• Familiarity with observability stacks such as Prometheus, Grafana, or ELK.
• Programming or scripting capability in Python, Go, or similar languages.

Culture & Benefits

• Collaborative environment focused on solving high-impact, complex engineering challenges.
• Commitment to a diverse, inclusive, and respectful workplace culture.
• Opportunities for professional growth and deep involvement in cutting-edge Embodied AI development.
• Emphasis on continuous learning and evolving alongside a fast-paced, high-innovation team.