Senior Site Reliability Engineer, Cloud Platform

Zilliz; Redwood City (CA); On-site; USD 175,000 - 225,000; Full time

Job summary

A fast-growing technology startup is looking for a Site Reliability Engineer to develop tools and systems for ensuring their distributed database's reliability and performance. The ideal candidate should have over 4 years of experience in site reliability engineering, proficiency in scripting languages, and strong knowledge of container orchestration technologies. This position offers a salary range of $175,000 - $225,000 a year and welcomes applicants from diverse backgrounds.

Qualifications

• 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.
• Experience with infrastructure as code tools such as Terraform or Ansible.
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or Argo.

Responsibilities

• Work at the intersection of development and site reliability.
• Ensure the reliability and performance of distributed database systems.
• Develop strategies for monitoring and incident management.
• Automate system operations to improve efficiency.
• Collaborate with software engineers to enhance reliability.

Skills

Site Reliability Engineering

Cloud-native systems

Scripting (Python, Go, Java)

Kubernetes

Docker

AWS

GCP

Azure

Terraform

Ansible

CI/CD (Jenkins, GitLab CI, Argo)

Troubleshooting distributed systems

Education

Bachelor’s degree in computer science or related field

Job description

Zilliz is a fast-growing startup developing the industry’s leading vector database company for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.

What you will do:

• 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.

What we are looking for:

• 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.

$175,000 - $225,000 a year

Zilliz is an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.