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Americas or APAC timezones
Remote only
Role
Our first product security-focused engineer
Takes high-level direction (e.g., "identify top five security-related gaps for AX") and drives to results
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
Day-to-day
Drive new security-related functionality such as key rotation, user-managed API credentials, RBAC, and the like
Select, deploy and tune security tooling across all relevant repos and environments, ensuring full coverage
Apply relevant industry trends, best practices, and specific vulnerabilities to our product
Qualifications
8+ years as a software engineer, with a significant portion of that time working on appsec-related work
Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy
Demonstrated ability to code in Rust and/or C++
Experience building encryption, authentication, and/or authorization features for shipping products at high throughput
Previous experience working at an early-stage startup
Demonstrated ownership of ambiguous projects with minimal guidance
Strong written and verbal communication (can drive alignment across teams)
Comfortable using data (metrics, experiments, usage) to guide decisions
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.
About LanceDB
LanceDB is a developer-friendly, open-source data platform for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale datasets, LanceDB is the best foundation for your AI workloads.
