Senior Infrastructure Engineer (AWS, K8S, GitOps)

Location: Singapore, Singapore; on-site. The role requires the candidate to be a Singapore Citizen or PR of Singapore.

Company

hirify.global is a technology consultancy that helps clients solve complex business problems and deliver software-driven transformation.

What you will do

• Launch client projects through hands-on infrastructure implementation, assess existing environments, and drive improvements.
• Collaborate with clients to define technical roadmaps and build solutions aligned with business goals.
• Design and maintain continuous delivery controls, automation, and infrastructure evolution processes.
• Provide DevOps, cloud, platform, and infrastructure engineering expertise to internal teams and client organizations.
• Monitor project deliverables and ensure technical expectations are consistently met.
• Partner with engineering leadership and advise on innovative solutions to technical and business constraints.

Requirements

• Singapore Citizenship or Singapore Permanent Residency required due to client security clearance.
• Experience designing and implementing enterprise or web-scale hosting platforms and administering application servers, web servers, and databases.
• Hands-on experience with AWS, cloud and virtualization platforms, infrastructure automation, and application hosting technologies.
• Strong experience with Kubernetes, container orchestration, and GitOps practices for deploying and troubleshooting containerized workloads.
• Scripting experience, server or container cluster administration, and practical knowledge of DevOps, Agile, Infrastructure as Code, CI/CD, and monitoring.
• Understanding of infrastructure vulnerabilities, secrets management, network security, and software supply chain security.

Nice to have

• Golang experience.
• AI agentic development, unit testing, automated testing, or stress and performance testing experience.

Culture & Benefits

• Career development supported through interactive tools and development programs.
• Autonomy combined with mentorship and a collaborative cultivation culture.
• Opportunities to work with multidisciplinary client and internal teams.
• Commitment to continuous learning and responsible use of AI in recruitment.