Senior DevOps Engineer

TL;DR

Senior DevOps Engineer: Designing and implementing infrastructure for large-scale distributed AI-powered systems with an accent on service scalability, automation, and reliability. Focus on building CI/CD pipelines, managing observability infrastructure, and ensuring the high availability of microservices within a global product team.

Location: Must be based in Taipei, Taiwan

Company

hirify.global is a software-as-a-service (SaaS) company that uses artificial intelligence to power business decision-making and democratize AI for enterprise ROI.

What you will do

• Collaborate with product teams to ensure high availability, reliability, and stability of the microservices architecture
• Design and maintain observability infrastructure including logging, monitoring, and alerting
• Build and optimize CI/CD pipelines and deployment automation
• Develop infrastructure-as-code solutions for scalable service deployment
• Lead incident response, troubleshooting, and post-mortem analysis
• Participate in on-call rotation to support production systems

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or related fields
• 5+ years of experience in DevOps, SRE, or infrastructure engineering roles
• Strong Linux system administration skills
• Proficiency in Bash and at least one programming language (Python, Go)
• Must be based in Taiwan

Nice to have

• Experience with container orchestration like Kubernetes and Docker
• Hands-on experience with configuration management tools like Terraform or Ansible
• Production experience with major cloud providers such as AWS, GCP, or Azure
• Database administration experience with PostgreSQL, MySQL, or MongoDB
• Knowledge of security best practices including IAM and network security

Culture & Benefits

• Work within a global company listed on the Tokyo Stock Exchange
• Opportunities to collaborate with cross-functional product teams across 17 international offices
• Exposure to large-scale distributed systems and cutting-edge AI technologies
• Commitment to building highly scalable and performant production services