Senior DevOps Engineer (AI)

TL;DR

Senior DevOps Engineer (AI): Building and managing hybrid cloud and on-premise infrastructure to support secure AI workflows with an accent on CI/CD pipelines, container orchestration, and system scalability. Focus on designing highly available environments, implementing robust monitoring, and ensuring compliance with strict security standards like SOC2 and HIPAA.

Location: Remote (Mentioned: Taipei, Taiwan)

Company

hirify.global is a global AI communications company specializing in secure, localized AI workflows for high-stakes sectors like central banking, healthcare, and financial institutions.

What you will do

• Design and maintain scalable CI/CD pipelines across development, staging, and production environments.
• Manage and optimize AWS and Azure cloud infrastructure for high availability and cost efficiency.
• Configure and maintain on-premise infrastructure, including virtualization and network storage.
• Automate infrastructure provisioning using tools like Terraform, Ansible, or CloudFormation.
• Implement comprehensive monitoring, alerting, and logging systems using Prometheus, Grafana, and ELK.
• Ensure infrastructure meets strict security and compliance standards including SOC 2 and ISO 27001.

Requirements

• 5+ years of professional experience in DevOps, Cloud Engineering, or Infrastructure Management.
• Proven expertise in hybrid infrastructure environments (cloud and on-premise).
• Strong proficiency in Docker, Kubernetes, and containerized deployment.
• Expertise in Infrastructure as Code (Terraform, Ansible, CloudFormation).
• Solid background in networking, load balancing, VPNs, and system security.
• Experience scaling systems in fast-paced environments to support high-traffic use cases.

Culture & Benefits

• Global remote-first team operating across 15+ countries.
• Supportive environment prioritizing cross-cultural and timezone collaboration.
• Opportunities for periodic in-person team gatherings.
• Commitment to diversity, equity, and inclusion in the workplace.
• Work on high-impact AI projects with global reach and institutional partners.