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Vector Database Job Jobs in California (NOW HIRING)

Cynet Systems

Python Backend Developer

San Jose, CA · On-site

$60 - $65/hr

Experience with vector databases such as Pinecone or Weaviate. * Familiarity with AI workflow frameworks such as LangChain or Llama Index. * Experience with Docker and cloud platforms such as AWS or ...

Exa

Software Engineer, Backend

San Francisco, CA · On-site

$180K - $350K/yr

We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search ...

Apple

Software Development Engineer

Cupertino, CA · On-site

$226K - $272K/yr

Design and optimize a vector database engine supporting vector embeddings, similarity search algorithms, indexing algorithms, low-latency retrieval used for LLM inference, and ranking. Leverage ...

Apple

Software Development Engineer

Cupertino, CA

$226K - $272K/yr

Design and optimize a vector database engine supporting vector embeddings, similarity search algorithms, indexing algorithms, low-latency retrieval used for LLM inference, and ranking. Leverage ...

SHEIN

Database Engineer

San Diego, CA · On-site

Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

SHEIN

Database Engineer

San Diego, CA · On-site

Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

SHEIN

Database Engineer

San Diego, CA · On-site

Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

SHEIN

Database Engineer

San Diego, CA · On-site

Has exposure to AI application frameworks such as LangChain or LlamaIndex, or has basic experience with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

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Senior Software Engineer, Cloud Reliability

Senior Software Engineer, Cloud Reliability

Zilliz

Redwood City, CA

$175K - $225K/yr

Full-time

Posted 28 days ago

Job description

Zilliz is a fast-growing startup developing the industry's leading vector database 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.


We're entering our next phase of 10x growth; more customers, larger datasets, and far higher expectations for reliability. You'll join a small, fast-moving Cloud Platform team that operates large-scale, multi-cloud, distributed database systems in production. This is a high-ownership role for engineers who want to move fast, build automation instead of toil, and take real responsibility for production stability.

What you will do:
  • Own the reliability, availability, and production stability of Zilliz Cloud as we scale through the next stage of growth
  • Debug complex production issues across Kubernetes, cloud infrastructure, networking, storage, and distributed database systems
  • Build automation and diagnostic tooling; log analysis, alert correlation, incident investigation, runbook automation, and remediation workflows so problems get solved once, not repeatedly
  • Turn recurring incidents into reusable tools, automation, documentation, and product improvements
  • Improve observability across latency, availability, throughput, and resource efficiency
  • Partner with database and infrastructure engineers to make Zilliz Cloud more reliable, scalable, and automated
What we are looking for:
  • 3+ years building or operating production cloud systems, infrastructure platforms, database systems, or large-scale online services
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
  • Strong hands-on experience with Kubernetes, Docker, and at least one major cloud platform (AWS, GCP, or Azure)
  • Solid understanding of distributed systems; availability, scalability, performance, failure recovery, and operational tradeoffs
  • Experience with distributed databases, storage systems, search systems, or large-scale online systems is a strong plus
  • Experience operating highly multi-tenant systems or large infrastructure fleets; thousands of nodes, clusters, tenants, or customer deployments is especially valuable
  • Familiarity with modern cloud operations tooling such as Terraform, Helm, Argo CD, Prometheus, Grafana, and CI/CD systems
  • Strong bias for action, and the drive to thrive in a fast-paced, rapidly scaling environment
How we operate:
  • High ownership: You own production reliability end-to-end. The whole system, not a slice of it. High autonomy, high trust, minimal process.
  • Fast and focused: We ship often and keep a high bar. This team suits engineers who want velocity and a steep growth curve over red tape.
  • Globally distributed: We work closely with our core engineering teams across APAC. Occasional early morning or evening syncs in exchange for an on-call setup designed around timezone coverage, not overnight pages.
$175,000 - $225,000 a year

Zilliz is an Equal Opportunity Employer and welcomes 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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