Senior Site Reliability Engineer Cloud Platform, Zilliz

$150-200k

+ Bonus + Equity

AWS

Docker

Kubernetes

GCP

Python

Java

Terraform

Jenkins

Ansible

Azure

Git

Mid and Senior level

San Francisco Bay Area

Office located in Redwood City, CA

Vector database for production-ready AI

Job no longer available

Vector database for production-ready AI

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Job no longer available

$150-200k

+ Bonus + Equity

AWS

Docker

Kubernetes

GCP

Python

Java

Terraform

Jenkins

Ansible

Azure

Git

Mid and Senior level

San Francisco Bay Area

Office located in Redwood City, CA

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Company mission

To democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.

Job

Company

Role

Who you are

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

What the job involves

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 open-source community, focusing on improving reliability and operational efficiency

Our take

Vector databases have become essential for powering advanced AI applications, which demand high recall, low latency, and robust throughput. Zilliz has positioned itself at the forefront of this field with its vector database management system, Milvus.

Building on its initial success, Zilliz recently released Milvus 2.4m which significantly enhances vector search capabilities. This latest version introduced GPU indexing, leveraging NVIDIA's CUDA-Accelerated Graph Index for Vector Retrieval (CAGRA) which outperforms traditional CPU-based indexes like HNSW.

Zilliz's commitment to innovation is further demonstrated by the expansion of its Hybrid Search capabilities, including a beta version of sparse vector embeddings for more accurate and semantically rich searches. These advancements, along with the evolution of Zilliz Cloud, emphasise the company's dedication to pushing the boundaries of what vector databases can achieve and make the future of the company an exciting one.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Aug 2022

$60m

SERIES B

Nov 2020

$43m

SERIES B

Total funding: $113m

Company benefits

Equity
Regular bonus and equity refresh opportunities
Comprehensive medical, dental, and vision insurance
Paid time off, including vacation, bereavement, and sick days
Generous 401(k) and regional retirement plans
Hybrid work model/Remote work opportunities available

Company HQ

Centennial, Redwood City, CA

Leadership

Charles Xie

(CEO)

Previously worked as a Senior Software Engineer at Oracle, before creating The Milvus Project. Serves on the governing board of the LF AI & Data Foundation.

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