Responsibilities

📍Handle production incidents and conduct post-mortem analysis to enhance system stability. 📍Design, deploy, monitor, and troubleshoot Kafka and Redis clusters in production environments, ensuring optimal performance and reliability. 📍Collaborate with development teams to ensure seamless deployment of applications and systems. 📍Manage and optimize cloud infrastructure (AWS, Alicloud) for performance, cost efficiency, and reliability. 📍Develop DevOps platforms, including online load testing and change management systems. 📍Enhance automation in infrastructure operations management using LLM or AI.

Requirements

📍At least 5 years of hands-on experience in Kafka and Redis operations in large-scale production environments, with the ability to collaborate with developers to optimize code. 📍Proficient in at least one programming language: Python, Go, or Java, along with strong SQL skills. 📍Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes. 📍Strong experience with CI/CD tools such as GitHub Actions, Ansible, and Terraform. 📍At least 3 years of experience with the AWS cloud platform; experience with GCP, Azure, or AliCloud is a plus. 📍Excellent problem-solving and troubleshooting skills. 📍Strong team collaboration skills and the ability to build partnerships with other teams and business units. 📍Practical experience in AIOps is preferred.

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