Location

Ho Chi Minh

Maps
  • Salary

    Competitive

  • Experience

    1 - 2 Years

  • Job level

    Experienced (Non - Manager)

  • Deadline to apply

    20/11/2025

Benefits

  • Laptop
  • Insurance
  • Travel
  • Uniform
  • Incentive bonus
  • Healthcare
  • Training Scheme
  • Salary review
  • Seniority Allowance
  • Annual Leave
  • Sport Club

Job Description

PURPOSE AND SCOPE

A Middle DevOps Engineer ensures stable, scalable, and efficient software infrastructure while collaborating with developers and operations. They build automated processes to improve deployment speed and product quality. With AI/ML skills, they optimize CI/CD pipelines, predict system issues, and enhance resource management. This role drives smarter, more resilient, and future-ready infrastructures.

RESPONSIBILITY

- Promote process automation where possible.

- Support the implementation of security measures and risk assessments.

- Manage incidents and root cause analysis.

- Participate in building, improving, and maintaining appropriate CI/CD tools and pipelines.

- Comply with VELA's software development standards.

- Ensure compliance with customer security and compliance requirements.

- Report technical risks and dependencies to project management.

- Support the AI team when needed: deploy AI models, set up GPU environments, and monitor AI services.

- Build small AI prototypes for internal use during spare time.

Job Requirement

EXPERIENCE

- College/University degree in IT, Telecommunications, or equivalent.

- 1–3 years of experience in System Operation / IT Infrastructure, familiar with Linux/Windows server administration, networking, and security.

- 1–2 years of practical experience in DevOps or related software engineering role, with exposure to CI/CD and automation.

- Hands-on experience with GitLab, Docker, Jenkins, Kubernetes.

- Knowledge of configuring and managing databases (MySQL, MongoDB…).

- Understanding of open-source tools and cloud services.

- Experience with Python and frameworks such as FastAPI, Streamlit, or Flask.

- Scripting experience in Python, Bash (and optionally PowerShell, Groovy, or Go) for automation and CI/CD pipelines

- Basic understanding of the ML lifecycle: training → testing → deployment.

- Familiarity with FastAPI, Streamlit, or Flask to wrap AI models as APIs.

- Experience with Hugging Face or OpenAI API is a plus.

- Experience in project management is preferable.

- Strong troubleshooting experience, ability to work effectively with cross-functional teams.

- Ability to work in a team and coordinate with other departments.

More Information

  • Age: Unlimited
  • Salary: Competitive
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