DevOps Engineer

Job Objectives

Ensure system stability, flexibility, and scalability while promoting automation and optimization of CI/CD processes throughout the product development lifecycle.
Build, deploy, and operate technical infrastructure to support software development, AI models, and internal IT systems.

Key Responsibilities

Support the deployment of AI services, big data processing, or APIs for machine learning models in production environments.
Ensure compliance with security standards and internal information system regulations.
Design, set up, and manage infrastructure on cloud platforms (AWS, GCP, Azure) or on- premise environments.
Monitor, log, and alert on system performance, stability, and security.
Collaborate with development teams to package applications (Docker), manage containers (Kubernetes), and monitor system resources.
Create technical documentation and operational guides, assisting in troubleshooting.
Develop and maintain CI/CD pipelines, integrating automated testing and deployment for software products and AI models.
Automate operational tasks, optimize infrastructure costs, and ensure uptime for critical systems.

Strong communication skills for collaboration with development and operations teams.
Preference for candidates with experience supporting big data systems, AI, or ML model processing pipelines.
Experienced in deploying and operating systems on cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
Minimum of 3 years of experience as a DevOps Engineer, Site Reliability Engineer, or System Engineer.
Bachelor’s degree in Information Technology, Computer Engineering, Information Systems, or equivalent.
Continuous learning mindset and ability to stay updated with new technologies.
Knowledge of system monitoring configurations (Prometheus, Grafana, ELK/EFK stack, CloudWatch, etc.).
Systematic thinking and efficient problem- solving skills.
Understanding of system security, IAM, SSL management, firewalls, data protection, and service security.
Proficient in shell scripting and at least one programming/automation language such as Python, Bash, or Go.
Meticulous and highly responsible, especially with production systems.
Ability to work independently and adapt flexibly to various infrastructure types.
Proficient in CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, ArgoCD, or equivalent.

Performance- based bonuses and recognition for contributions.
Competitive salary based on skills and experience.
Advanced technical environment with opportunities to work on large- scale data systems and modern AI solutions.
Transparent and professional work culture, supporting long- term career development.

Cập nhật gần nhất lúc: 2026-04-02 13:35:02