Deskripsi Pekerjaan
Are you a visionary DevOps Engineer looking to lead the charge in building award-winning trading systems that power Asia's top banks? Join DZH International and be part of a dynamic team dedicated to innovation and excellence. We are seeking a proactive professional to design, implement, and maintain our CI/CD pipelines and automation infrastructure. In this pivotal role, you will bridge the gap between development and operations, ensuring high availability, robust security, and scalability of our AI-enabled trading platforms. You will leverage cutting-edge cloud technologies to optimize our workflows, drive efficiency across the organization, and support the rapid deployment of next-generation financial solutions.
Tanggung Jawab
- Design, implement, and manage robust CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps.
- Automate infrastructure provisioning and configuration management using Terraform, Ansible, or Chef.
- Collaborate closely with AI/ML teams to streamline the deployment and scaling of machine learning models into production environments.
- Monitor system health and performance using tools like Prometheus, Grafana, and ELK Stack, ensuring 99.99% uptime for critical trading systems.
- Enforce security best practices and compliance standards (e.g., SOC2, ISO 27001) throughout the software development lifecycle.
- Optimize cloud resource usage and costs within AWS, Azure, or GCP environments.
- Conduct root cause analysis for incidents and drive continuous improvement initiatives.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Minimum of 5 years of professional experience as a DevOps Engineer or Site Reliability Engineer.
- Strong proficiency in Linux system administration and scripting (Python, Bash).
- Deep understanding of containerization technologies: Docker and Kubernetes.
- Experience with major cloud providers (AWS, Azure, or GCP).
- Familiarity with infrastructure as code (IaC) principles and tools.
- Experience integrating AI/ML models into production pipelines is a strong plus.