Địa điểm

Hồ Chí Minh

Maps
  • Lương

    Cạnh tranh

  • Kinh nghiệm

    1 - 2 Năm

  • Cấp bậc

    Nhân viên

  • Hết hạn nộp

    19/12/2025

Phúc lợi

  • Laptop
  • Chế độ bảo hiểm
  • Du Lịch
  • Đồng phục
  • Chế độ thưởng
  • Chăm sóc sức khỏe
  • Đào tạo
  • Tăng lương
  • Phụ cấp thâm niên
  • Nghỉ phép năm
  • CLB thể thao

Mô tả Công việc

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.

Yêu Cầu Công Việc

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.

Thông tin khác

  • Độ tuổi: Không giới hạn tuổi
  • Lương: Cạnh tranh
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