DevOps Engineer

Dah Reply | AI Agent; Kuala Lumpur; Hybrid; MYR 90,000 - 150,000; Full time

Job summary

Dah Reply | AI Agent, based in Kuala Lumpur, is hiring a full-time DevOps Engineer for a hybrid role with potential for part-time work-from-home. You will design, implement, and maintain cloud infrastructure to support AI chatbot platforms, ensuring scalability, reliability, and security.

Day-to-day include building and managing CI pipelines, automating deployments, monitoring performance, and troubleshooting production issues, with collaboration across software and data teams to improve

Qualifications

• IaC skills with Terraform, CloudFormation, or similar.
• Hands-on CI/CD tools and practices (GitLab CI, GitHub Actions, Jenkins).
• System Administration incl. servers, networking, and performance monitoring.
• Solid Linux understanding incl. shell scripting, security hardening, and package management.
• Experience with AWS, Azure, or GCP and containerization with Docker/Kubernetes.
• Observability tools and incident management processes.
• Ability to collaborate with cross-functional teams and communicate with stakeholders.
• Experience supporting AI/ML or high-availability SaaS products is a plus.

Responsibilities

• Design, implement, and maintain cloud infrastructure for AI chatbot platforms and services.
• Build and manage CI pipelines, automate deployments.
• Monitor system performance and troubleshoot production issues.
• Collaborate with software engineers and data teams to improve delivery processes.
• Refine infrastructure as code practices and contribute to documentation and incident response.
• Participate in continuous improvement of operational standards.

Skills

IaC

CI/CD

Linux

Docker

Kubernetes

Cloud

Scripting

Observability

Tools

Terraform

CloudFormation

GitLab CI

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Company Description

Dah Reply | AI Agent transforms how organizations connect with customers and improve internal productivity through intelligent AI solutions. The company offers an online AI chatbot builder, customized generative AI chatbots, and industry-specific LLM fine-tuning to deliver precise and effective interactions. Serving leading businesses across Malaysia in sectors such as retail, healthcare, agriculture, and EV, Dah Reply focuses on streamlining operations, boosting customer satisfaction, and supporting sustainable growth. Team members work in a digital-first environment, helping clients adopt smart AI tools that drive measurable impact.

Role Description

This full-time DevOps Engineer role is a hybrid position based in the Federal Territory of Kuala Lumpur, Malaysia, with flexibility for part-time work from home. The DevOps Engineer will design, implement, and maintain cloud infrastructure to support AI chatbot platforms and related services, ensuring scalability, reliability, and security. Day-to-day responsibilities include building and managing CI pipelines, automating deployments, monitoring system performance, and troubleshooting production issues. The role involves collaborating with software engineers and data teams to improve delivery processes, optimize resource usage, and refine infrastructure as code practices. The DevOps Engineer will also contribute to documentation, incident response, and continuous improvement of operational standards.

Qualifications

• Strong Infrastructure as Code (IaC) skills, with experience using tools such as Terraform, CloudFormation, or similar.
• Hands‑on experience with Continuous Integration and delivery tools and practices (e.g., GitLab CI, GitHub Actions, Jenkins).
• System Administration experience, including managing servers, networking fundamentals, and performance monitoring.
• Solid understanding of Linux environments, including shell scripting, security hardening, and package management.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration (e.g., Docker, Kubernetes).
• Proficiency with observability tools (logging, metrics, alerting) and incident management processes.
• Ability to collaborate effectively in cross-functional teams and communicate clearly with technical and non-technical stakeholders.
• Prior experience supporting AI, machine learning, or high-availability SaaS products is an advantage.