全职 DevOps Engineer 工作, 薪水, Dah Reply | AI Agent Federal Territory 公司招聘中 - Ricebowl

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.
• Software Development capabilities in languages commonly used for DevOps (e.g., Python, Go, or JavaScript) and scripting for automation.
• 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.