Frontend DevOps Engineer (EKS, K8s, Python, Terraform)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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 enhance system stability and reliability.
• Partner with development teams to ensure seamless application and infrastructure deployments.
• Maintain and optimize cloud infrastructure (AWS, AliCloud, TencentCloud) for performance, cost-efficiency, and high availability.
• Administer and scale Kubernetes clusters (primarily EKS) to support scalable web service deployments.
• Design, build, and maintain CI/CD pipelines using GitHub Actions, ArgoCD, and AI/LLM-powered automation.
• Automate infrastructure provisioning and configuration management using Terraform and Python.

Requirements

• Hands-on experience with AWS services (EC2, ELB, EKS, ECS, VPC, IAM, S3, CloudFront), AWS SDK and other cloud services (Cloudflare/GCP/AliCloud/TencentCloud).
• Strong working knowledge of Kubernetes, particularly managed services such as EKS.
• Proficiency in scripting languages including Bash, Python, or Go.
• Experience with monitoring, logging, and system performance optimization.
• Familiarity with DevOps toolchains including Terraform, Docker, and Linux administration.
• Solid understanding of networking protocols and security best practices.
• Strong analytical and problem-solving skills.
• Fluent in English and Mandarin to coordinate effectively with global stakeholders and cross-functional teams.

Preferred
Hands-on experience leveraging AI models or tools to address operational challenges and streamline deployment workflows.Enthusiasm for exploring emerging technologies and integrating them into daily operations to drive innovation and continuous improvement.