Cloud Platform Support Engineer II (AWS/Kubernetes)

Location: Kuala Lumpur, Malaysia; hybrid work environment. Applicants must be eligible and experienced to work in Malaysia as citizens or permanent residents.

Company

hirify.global provides a cloud platform combining digital, core, analytics, and AI capabilities for property and casualty insurers worldwide.

What you will do

• Research, manage, and resolve customer support cases across the hirify.global Cloud Platform and on-premise environments.
• Act as a technical point of contact and trusted advisor for customers and stakeholders.
• Collaborate with Product Development and Operations teams on complex system integrations and custom configurations.
• Create and maintain troubleshooting guides, knowledge-base articles, and operational runbooks.
• Support a 24x7 Follow-the-Sun service model across APAC, EMEA, and AMER, including occasional rotating weekend shifts for production emergencies.
• Build platform expertise through company-sponsored training and continuous learning.

Requirements

• Bachelor’s degree in Computer Science or a related field.
• At least 2 years of experience working directly with customers or key internal partners.
• Practical familiarity with AWS, Docker, Linux, Kubernetes, cloud architecture, networking, TCP/IP, HTTP, DNS, and load balancing.
• Knowledge of object-oriented programming, relational databases, XML, software development lifecycle practices, and Java web applications in production.
• Familiarity with CI/CD concepts and principles.
• Fluent spoken and written English and eligibility to work in Malaysia as a citizen or permanent resident.

Nice to have

• Japanese language proficiency.
• Experience supporting B2B software.
• Bash scripting, Jenkins, or TeamCity experience.

Culture & Benefits

• Company-sponsored education and training across platform, product development, and cloud engineering areas.
• Collaborative environment focused on information sharing, cross-training, and team-based resolution.
• Culture of curiosity, innovation, responsible AI use, and data-driven improvement.
• Local daytime Monday–Friday working hours within a global 24x7 support model.