
DevOps Engineer (Artificial Intelligence)
at Binance
Posted 11 hours ago
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- Compensation
- Not specified
- City
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- Country
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Currency: Not specified
Join Binance's Big Data team to develop AI-powered, data-driven platforms that transform massive datasets into actionable insights and support global operations. You will design, deploy, monitor, and troubleshoot Kafka or Redis clusters in production, collaborating with development teams to ensure seamless deployments and optimize cloud infrastructure for performance, cost, and reliability. You will develop a DevOps platform with online load testing and change management, and continuously explore AI-driven insights to improve reliability and enable intelligent decision-making for engineering teams. This role is 100% remote.
Responsibilities
- Handle production incidents and post-mortem analysis for system stability improvements
- Designing, deploying, monitoring, and troubleshooting Kafka OR Redis clusters in PROD environment, ensuring optimal performance and reliability
- Work closely with development teams to ensure seamless deployment of applications or systems
- Manage and optimize Cloud infrastructure for performance, cost, and reliability
- Develop Devops platform like online load test, change management system
- Continuously explore and integrate AI-driven insights into operational processes to improve reliability, reduce noise, and empower engineering teams with intelligent decision-making.
Requirements
- 2-6 years of hands-on experience in Kafka OR Redis operations in large-scale production environments, familiar with the use of AI in DevOps
- Proficient with at least 1 public Cloud, AwS OR AliCloud OR Tencent Cloud
- Leverage LLMs or AI frameworks (OpenAI, Dify, Agno, LangChain) to enhance automation in DevOps infrastructure operations, including intelligent alert triage, RCA (Root Cause Analysis), and chat-based operations (ChatOps)
- Practical experience building or operating AIOps systems (Anomaly detection, Alert correlation, Automated healing, or RCA)
- Familiarity with LLM-based DevOps automation (e.g., building chat-based ops assistants or AI-driven observability workflows)
- Proficient in Python/Go/Java (at least one language) and SQL programming languages
- Hands-on experience with containerization and orchestration - Kubernetes
- Strong experience with CI/CD tools such as GitHub Actions, Ansible, Terraform etc
- Proficient in both English and Chinese communication for efficient cross team collaboration

