Senior DevOps Engineer (Kubernetes/ AWS/ Cloud-native)
atBinance
Jun 30
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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
- Hands-on experience with AWS services (e.g., EC2, VPC, IAM, S3, CloudFront) and infrastructure-as-code tools (Terraform, CloudFormation).
- Strong practical knowledge of Kubernetes, especially managed services like EKS.
- Proficiency in scripting languages such as Bash, Python, or Go.
- 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.
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