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Developer-friendly, open source database for multi-modal AI
Senior Support Engineer
Location
United States
Posted
124 days ago
Salary
$180K - $250K / year
Seniority
Senior
Job Description
Senior Support Engineer
LanceDB
• 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. • 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. • Work in close collaboration with our engineering and product teams to reproduce issues, debug root causes, propose remediation, and drive fixes or enhancements. • Dive deeply into distributed database internals: query execution, storage engine, indexing, sharding, replication, fail-over, and cloud orchestration (Kubernetes, serverless-style deployments). • Use and contribute to Rust codebases: reproduce customer environments, inspect logs, build diagnostic tools, run instrumentation, apply patches and configuration changes.
Job Requirements
- 8+ years of professional experience in a support / operations / troubleshooting role in a distributed database or data infrastructure environment.
- 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.
- Very comfortable with reading logs and correlating them with source code, working with Grafana dashboards, and creating shell scripts or Python code to assist in debugging.
- Excellent customer-facing communication skills: you’ll be working directly with high-value customers, so you must be comfortable explaining complex technical issues clearly, managing expectations, and advocating for the customer.
- Strong sense of ownership, urgency, correct prioritization under pressure, and ability to work closely with engineering teams to drive resolution.
- Comfortable working in a fast-moving startup environment with high autonomy and evolving responsibilities.
Benefits
- Offers Equity
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