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Vingroup · Hà Nội,Thành phố Hồ Chí Minh, Hồ Chí Minh
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Other
Department
VinSmart Future
Salary
Thương lượng
Location
Hà Nội · Hồ Chí Minh

Overview

  • Site Reliability Engineering & Infrastructure Management (35%)
  • Define SRE roadmap: Build and implement SRE roadmap to create cross-functional systems that meet the company's scalable requirements.
  • Multi-cloud deployment: Deploy and manage services across On-premise, Azure, and AWS environments.
  • Infrastructure as Code: Implement deployment and configuration automation using tools like Terraform, Ansible, or CloudFormation.
  • System monitoring: Set up and maintain monitoring systems (Prometheus, Grafana) to identify potential issues.
  • Performance optimization: Optimize performance of services including Elasticsearch, Logstash, and overall system performance.
  • Ensure system and service continuity, implement disaster recovery strategies.
  • DevOps & CI/CD Pipeline (25%)
  • Application modernization: Standardize and automate application development and deployment pipelines.
  • CI/CD implementation: Design and maintain CI/CD pipelines using GitLab CI, Jenkins, or Azure DevOps.
  • Configuration management: Manage and control deployment flows, standardize configurations for tracking.
  • Container orchestration: Deploy and manage containerized applications using Docker and Kubernetes.
  • GitOps practices: Implement GitOps workflows with ArgoCD or FluxCD.
  • Secret management: Implement secure secret management solutions.
  • MLOps & Machine Learning Infrastructure (25%)
  • ML pipeline automation: Design and implement automated ML pipelines for SmartCity AI models.
  • Model deployment & serving: Set up model training, versioning, and serving infrastructure.
  • Experiment tracking: Implement experiment tracking and model registry systems.
  • Data pipeline management: Manage data pipelines and data lakes for ML workloads.
  • Feature stores: Set up and maintain feature stores for ML model consistency.
  • ML monitoring: Monitor ML model performance, drift detection, and retraining automation.
  • A/B testing infrastructure: Design infrastructure for A/B testing ML models in production.
  • SmartCity Specific Infrastructure (15%)
  • IoT infrastructure: Manage infrastructure for IoT device integration and data streaming.
  • Edge computing: Deploy and manage edge computing solutions for real-time processing.
  • Data streaming: Implement real-time data streaming with Kafka or similar tools for SmartCity applications.
  • Security compliance: Ensure compliance with security standards for government/municipal systems.
  • High availability: Design fault-tolerant systems for critical SmartCity services.

Requirements

  • Required
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent.
  • 5+ years of experience in DevOps/SRE with Linux experience and Site Reliability Engineering responsibilities.
  • Good understanding of Docker and Kubernetes container orchestration.
  • Experience with monitoring systems: Grafana, Prometheus.
  • Hands-on experience with CI/CD tools: GitLab CI, Jenkins, or Azure DevOps.
  • Experience with centralized logging solutions: ELK stack or similar.
  • Cloud experience: AWS or Azure – deployment, management, optimization.
  • Programming skills: Bash, Python for automation and scripting.
  • Preferred Skills
  • Experience with Terraform, Ansible, or CloudFormation.
  • Experience with GitOps tools such as ArgoCD or FluxCD.
  • Experience with Elasticsearch, Logstash, and performance optimization.
  • Experience designing and operating ML pipelines, model serving infrastructure, and model monitoring systems.
  • Experience with data pipelines, data lakes, and feature stores.
  • Experience with Kafka or similar real-time data streaming platforms.
  • Experience working with IoT infrastructure and edge computing solutions.
  • knowledge of disaster recovery, high availability, and security compliance practices.

Benefits

  • Chế độ lương thưởng cạnh tranh, phù hợp với năng lực và chế độ phúc lợi hấp dẫn
  • Lương tháng 13, thưởng theo đánh giá hiệu quả cá nhân và kết quả kinh doanh của công ty
  • BHXH theo quy định của nhà nước và chính sách chung của tập đoàn
  • Các quyền lợi khi đi công tác trong và ngoài nước
BonusTraining

Summary of facts from the official posting. View original ↗

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