Why Binance
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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Responsibilities
- Manage production incidents and conduct post-mortems to improve system stability and reliability.
- Collaborate closely with development teams to ensure smooth application and system deployments.
- Maintain and optimize cloud infrastructure (e.g., AWS, Alicloud) for performance, cost-efficiency, and availability.
- Administer and scale Kubernetes clusters (primarily EKS) to support web service deployments.
- Design, build, and maintain CI/CD pipelines using tools such as GitHub Actions, ArgoCD, and AI/LLM-based automation.
- Automate infrastructure provisioning and management with tools like Terraform and Python.
Requirements
- Minimally 5 years of hands-on experience with AWS services (e.g. Cloudfront, EKS, VPC, S3, ALB) and infrastructure-as-code tools (Terraform, CloudFormation).
- Strong practical knowledge of Kubernetes, especially managed services like EKS.
- Proficiency in scripting languages such as Python, Shell, Bash or Go.
- Experienced in managing high traffic/ volume.
- Familiarity with monitoring, logging, and system performance tuning.
- Experience with DevOps tools and platforms such as Terraform, Ansible, Docker, and Linux.
- Solid understanding of networking protocols and security best practices.
- Strong analytical and troubleshooting skills.
- Bilingual in English and Mandarin to effectively coordinate with international stakeholders and teams.
Preferred:
- Practical experience applying AI models or tools to solve real-world operational challenges and enhance deployment workflows.
- Passion for exploring new technologies and integrating them into daily operations to drive innovation and continuous improvement.