Senior Security Engineer
Boost your chances before you apply.
LanceDB
San Francisco, CA, US
Summary
The role involves selecting and tuning security tooling and managing vulnerabilities to enhance the security posture of the LanceDB platform. The engineer will identify security gaps, remediate risks in cloud IAM and access controls, and support compliance testing.
Job Description
About LanceDB
AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles.
About the Role
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Our first product security-focused engineer
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Takes high-level direction (e.g., “identify top five security-related gaps for AX”) and drives to results
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Success looks like a LanceDB platform that follows security-related best practices, and an ongoing partnership with other engineers to continuously enhance our security posture in all areas of the product
What You’ll Do
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Drive new security-related functionality such as key rotation, user-managed API credentials, RBAC, and the like
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Select, deploy and tune security tooling across all relevant repos and environments, ensuring full coverage
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Apply relevant industry trends, best practices, and specific vulnerabilities to our product
What We’re Looking For
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8+ years as a software engineer, with a significant portion of that time working on appsec-related work
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Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy
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Demonstrated ability to code in Rust and/or C++
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Experience building encryption, authentication, and/or authorization features for shipping products at high throughput
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Previous experience working at an early-stage startup
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Demonstrated ownership of ambiguous projects with minimal guidance
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Strong written and verbal communication (can drive alignment across teams)
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Comfortable using data (metrics, experiments, usage) to guide decisions
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Experience contributing to or working with open source communities
Please apply for this role only if you meet all of the above qualifications, and agree with the day-to-day responsibilities. Of particular note: qualified candidates for this role will have day-to-day coding responsibilities - this is an appsec and devsecops role, not an infosec or platform security role.
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
Founded
2022
Company size
11-50 employees
Industry
Information Services
Org type
Privately Held
Headquarters
San Francisco, California
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
Founded
2022
Company size
11-50 employees
Industry
Information Services
Org type
Privately Held
Headquarters
San Francisco, California