Cloud Engineer (GCP/AI)

TL;DR

Cloud Engineer (GCP/AI): Designing and operating multi-cloud infrastructure with an accent on GCP expansion and AI/LLM enabled workloads. Focus on infrastructure automation, security, and cost optimization for mission-critical cloud systems.

Location: Must be based in the USA (Salary disclosure specifically mentions Georgia-based applicants)

Salary: $97,700 - $122,100

Company

hirify.global builds emissions-free Electric Adventure Vehicles with a mission to keep the world adventurous forever.

What you will do

• Design and optimize multi-cloud infrastructure, focusing on GCP expansion and mature AWS environments.
• Enable and operationalize cloud services for AI/ML and LLM workloads using AWS Bedrock and GCP AI platforms.
• Automate end-to-end infrastructure using Terraform, AWX/Ansible, and CI/CD practices.
• Manage and troubleshoot EKS/Kubernetes environments, HPC clusters, and large-scale storage.
• Implement observability best practices and participate in on-call incident response.
• Drive cost efficiency through a FinOps approach and ongoing optimization reviews.

Requirements

• Hands-on experience operating production workloads on GCP.
• Expertise in Infrastructure-as-Code (Terraform, Cloud Formation, CDK) and configuration management (Ansible/AWX).
• Strong knowledge of GKE, GCP networking, and Vertex AI/Gemini.
• Experience with observability tools such as Datadog and debugging distributed systems.
• Proficiency in Python or Go for automation and tooling.
• Ability to use coding agents to generate and productionize applications.

Culture & Benefits

• Comprehensive insurance portfolio including medical, dental, vision, and life insurance.
• Paid vacation and paid sick leave.
• Participation in 401(k) Plan and Employee Stock Purchase Program.
• Eligibility for annual performance bonuses and equity awards.
• Inclusive culture committed to equal opportunity and accessibility.