Cloud Engineer (AI)

TL;DR

Cloud Engineer (AI): Designing, building, and maintaining cloud infrastructure for an AI-driven insurance automation platform with an accent on scalability, security, and reliability. Focus on automating infrastructure provisioning, optimizing CI/CD pipelines, and ensuring high availability for business-critical insurance workflows.

Location: Remote (Must be based in China)

Company

hirify.global develops AI-powered automation systems to streamline end-to-end insurance journeys across Southeast Asian markets.

What you will do

• Design, build, and maintain scalable cloud infrastructure supporting the AI automation platform.
• Manage cloud environments across development, staging, and production stages.
• Develop and improve Infrastructure-as-Code (IaC) for repeatable and scalable deployments.
• Optimize CI/CD pipelines to ensure safe, fast, and consistent releases.
• Enhance system observability through advanced monitoring, logging, and alerting solutions.
• Automate infrastructure provisioning and scaling to minimize operational risk.

Requirements

• Professional experience in Cloud Engineering, DevOps, SRE, or Platform Engineering roles.
• Strong proficiency with major cloud platforms such as AWS, GCP, or Azure.
• Hands-on experience with IaC tools like Terraform, Ansible, or CloudFormation.
• Expertise in containerization technologies, specifically Docker and Kubernetes.
• Deep understanding of networking, security, and cloud architecture fundamentals.
• Must be based in China.

Nice to have

• Experience building cloud-native infrastructure for high-traffic systems.
• Proficiency with observability tools such as Prometheus, Grafana, ELK, or Datadog.
• Experience with multi-region or distributed cloud architectures.
• Background in fintech, insurance, or other highly regulated industries.
• Knowledge of zero-downtime deployment strategies (blue-green, canary).

Culture & Benefits

• Fully remote work arrangement for candidates based in China.
• Opportunity to collaborate with a global engineering team across multiple countries.
• Dedicated learning and development budget for technical growth and certifications.
• High level of ownership and autonomy over infrastructure design and decision-making.
• Competitive compensation package based on experience and impact.

Hiring process

• Application review and screening.
• Two technical interviews.
• Technical scenario evaluation or systems design discussion.