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Binance VERIFIED EMPLOYER

DevOps Engineer, Cloud Infra.

Remote DevOps & Engineering

DevOps Engineer, Cloud Infra: our view in 3 lines...

  • The Role:This role is for a DevOps engineer focused on cloud infrastructure and production reliability in a blockchain and cryptocurrency business.
  • The Person:The person will handle production incidents, run post-mortem analysis, deploy and monitor Kafka and Redis clusters, manage AWS and Alicloud infrastructure, and build DevOps and AIOps automation.
  • Requirements:The ideal candidate has 5+ years of hands-on experience with Kafka and Redis, Python / Go / Java, SQL, Docker, Kubernetes, GitHub Actions, Ansible, Terraform, and AWS.

About the role

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

  • 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
  • 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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    Published September 18, 2026
    Location Asia, United Kingdom
    Category DevOps & Engineering