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DevOps Engineer (Remote).

Remote

MÔ TẢ CÔNG VIỆC

    - Design, implement, and secure cloud-native infrastructure using Kubernetes, Terraform/Pulumi, container platforms, and centralized secrets management.
    - Build and maintain CI/CD pipelines, DevSecOps practices, observability solutions, and API gateway routing to support scalable microservices and AI-driven applications.
    - Establish AI engineering environments, including RAG/vector databases, AI coding standards, sandbox environments, and automated validation workflows.
    - Optimize AI operations through API management, cost control, security scanning, monitoring, and human-in-the-loop governance for AI-generated code.

QUYỀN LỢI

    - An attractive income level upto 35,000,000 VNĐ.
    - Connection bonus: 1~10 million bonus for anyone who introduces friends and acquaintances to the company.
    - Working with large and advanced systems, have the opportunity to develop comprehensive technical skills with complex problems, requiring high accuracy.
    - Become one of the influential KeyPerson in the project, high chance to become Leader, Project Manager.
    - Participating in personnel engagement activities: Weekend Online Game prizes (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building by week, by month, by project.
    - Opportunity for advancement based on ability with corresponding increase in rank and salary increase.
    - Opportunity to implement ambitious projects in many countries, exposure to the latest technologies and learn from good colleagues.
    - Participate in skills training courses: AWS, Microservices, foreign languages ​​(English, Japanese)...

YÊU CẦU

    - 4-5+ years of experience in DevOps/SRE, with strong expertise in CI/CD, deployment automation, cloud infrastructure, and SaaS/Multi-tenant environments.
    - Hands-on experience with AWS/GCP, networking, Terraform/Pulumi, Docker, Kubernetes, and Helm.
    - Solid understanding of software development practices, with the ability to review, validate, and improve AI-generated code across modern technology stacks.
    - Proficient in AI-assisted development tools (e.g., Cursor, Copilot, LLMs) and capable of leveraging AI to accelerate infrastructure and automation workflows.
    - Security-focused mindset with experience in DevSecOps, secure code reviews, automated testing, and Zero Trust principles.
    - Fluent English communication skills, with the ability to collaborate effectively with global teams and stakeholders.