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[VELA] Middle DevOps Engineer

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Onsite

[VELA] Middle DevOps Engineer

ITL

[VELA] Middle DevOps Engineer

Skills

MongoDBDockerFlaskPythonGolangMySQLGitLabJenkinsMachine LearningAILinuxKubernetesFastAPICompliance

8 months ago

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Important information


Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

17 September 2026

What they need


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.

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.

Contact Information

  • Address: 52-54-56 Truong Son Street, Ward 2, Tan Binh District, HCMC.
  • Hotline: 028 3948 6888
  • Email: [email protected]

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