DevOps Engineer, Cloud Infra

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. 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. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

Handle production incidents and post-mortem analysis for system stability improvements

Designing, deploying, monitoring, and troubleshooting Kafka and 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 (AWS, Alicloud) for performance, cost, and reliability

Develop Devops platform like online load test, change management system

Leverage LLMs or AI frameworks (OpenAI, Dify, Agno, LangChain) to enhance automation in infrastructure operations, including intelligent alert triage, RCA (Root Cause Analysis), and chat-based operations (ChatOps)

Continuously explore and integrate AI-driven insights into operational processes to improve reliability, reduce noise, and empower engineering teams with intelligent decision-making.

Requirements

5+ years of hands-on experience in Kafka and Redis operations in large-scale production environments, be able to cooperate with developers to optimize code

Proficient in Python / Go / Java (at least one language) and SQL programming languages

Hands-on experience with containerization and orchestration (Docker, Kubernetes)

Strong experience with CI/CD tools such as GitHub Actions, Ansible, Terraform etc

At least 3 years of experience with AWS cloud platform. GCP, Azure, or Ali Cloud is a plus

Excellent problem-solving and troubleshooting skills

Strong team collaboration attitude and develop partnership with other teams and business

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)

Experience using or integrating tools like Dify, Agno, or LangChain into operational workflows