DevOps Engineer

Responsibilities

• Design, deploy and maintain backend infrastructure to ensure high availability, scalability and reliability of production systems.
• Manage cloud infrastructure on AWS and AliCloud, including performance optimization, cost management and operational excellence.
• Deploy, monitor and maintain Kubernetes clusters, distributed backend systems and supporting infrastructure services.
• Build and maintain CI/CD pipelines and infrastructure automation using GitHub Actions, Terraform and Ansible.
• Collaborate with software engineers to support backend service deployment, troubleshooting and production operations.
• Investigate production incidents, perform root cause analysis and implement preventive improvements.
• Implement infrastructure security best practices to ensure secure and reliable production environments.
• Develop internal DevOps platforms and automation tools to improve engineering productivity and operational efficiency.
• Implement monitoring, observability and alerting solutions to enhance service reliability.
• Research and integrate AI technologies into infrastructure operations, including intelligent alert analysis, ChatOps and operational automation.

Qualifications:

• 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