LanceDB

Senior Support Engineer

Americas timezones · Senior

Sponsorship not specifiedDetected 127 days ago

PythonRustDistributed SystemsAWSGCPAzureKubernetesPrometheusGrafanaPandasIncident ResponseCommunicationCollaboration

About the role

Dive deeply into distributed database internals: query execution, storage engine, indexing, sharding, replication, fail-over, and cloud orchestration (Kubernetes, serverless-style deployments).

identify recurring issues, escalate product bugs or UX gaps, propose improvements in the support process, and advocate for the customer in the roadmap.
Work in close collaboration with our engineering and product teams to reproduce issues, debug root causes, propose remediation, and drive fixes or enhancements.
As one of the early team members, build our support infrastructure and practices while handling customer cases:
Develop and maintain knowledge-base articles, runbooks, and support tooling that document common issues, best practices, deployment patterns, and performance tuning.
Contribute to metrics around support response-times, resolution times, customer satisfaction, and help build a scalable support organization as we grow.
Work proactively: identify recurring issues, escalate product bugs or UX gaps, propose improvements in the support process, and advocate for the customer in the roadmap.
You'll work together on building systems that support next-generation AI workloads, while helping define how LanceDB runs and scales in production infrastructure at some of the most innovative companies of our time.

Demonstrated experience with distributed database systems, cloud-native data platforms (AWS, GCP, or Azure), and Kubernetes or serverless deployment models.
Strong knowledge of distributed systems concepts: sharding, replication, consensus, failure modes, resource contention, performance bottlenecks, and cloud-native orchestration (Kubernetes, containerization, autoscaling).
Demonstrated experience with at least one of the following: vector/feature stores, analytics engines or big data systems.

Proficiency in Rust: you should be comfortable reading, navigating, and debugging code
ideally you've built or debugged production-quality systems written in Rust.
Experience deploying and monitoring systems in large-scale production environments: logging/observability (e.g., Prometheus, Grafana, OpenTelemetry), alerting, SLOs/SLAs.

Comfortable working in a fast-moving startup environment with high autonomy and evolving responsibilities.
Familiarity with storage engine internals, indexing/data layout, performance tuning, and profiling tools.
Contributions to open-source projects (especially Rust), or experience writing diagnostic tools, debuggers, or instrumentation.
About LanceDB
LanceDB is a high-performance, open-source, cloud-native database built for multimodal workflows.

Serve as one of the primary technical points of contact for our customers: troubleshoot issues, respond to escalations, and guide customers through full lifecycle support for large-scale deployments of LanceDB.

This listing is sourced directly from LanceDB's careers page and normalized into a canonical job model.