Senior Site Reliability Engineer Cloud Platform

• Work at the intersection of development and site reliability. Creating SRE tools and systems, as well as supporting existing infrastructure and platforms.
• Ensure the reliability, availability, and performance of Zilliz’s distributed database systems.
• Develop and implement strategies for monitoring, incident management, and disaster recovery.
• Automate system operations and maintenance tasks to improve efficiency and reduce manual intervention.
• Design and build tools to manage and monitor infrastructure, ensuring scalability and robustness.
• Collaborate with software engineers to enhance system reliability, scalability, and performance.
• Maintain and improve the CI/CD pipeline to ensure smooth and rapid deployment of changes.
• Actively contribute to the Milvus Vector Database open-source community, focusing on improving reliability and operational efficiency.

• 4+ years of experience in site reliability engineering or similar roles with a focus on cloud-native systems.
• Proficiency in scripting languages such as Python, Go, or Java.
• Strong knowledge of container orchestration technologies like Kubernetes and Docker.
• Expertise with cloud platforms such as AWS, GCP, or Azure, and their respective monitoring and management tools.
• Experience with infrastructure as code tools such as Terraform or Ansible.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Argo.
• Proven ability to troubleshoot complex distributed systems and resolve issues promptly.
• Bachelor’s degree or above in computer science, software engineering, or other relevant disciplines.
• Ability to thrive in a fast-paced, startup environment and handle multiple projects simultaneously.
• Experience with Open Source Milvus Vector Database is nice to have

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.