--- title: "Senior Support Engineer" company: "LanceDB" company_url: "https://www.remjobs.works/companies/lancedb" url: "https://www.remjobs.works/job/lancedb-senior-support-engineer-93c26d12-6d48-43c9-b4b9-27b2dd01c7f2" apply_url: "https://jobs.ashbyhq.com/lancedb/2fa13bf0-6f20-4ef0-a2d9-120018b7ee02" workplace: remote location: "Americas timezones" remote_scope: "Americas timezones" employment_type: full-time seniority: senior role: customer-support region: united-states skills: ["aws", "azure", "gcp", "kubernetes", "python", "rust"] date_posted: 2026-03-17T04:48:17.143Z first_seen_by_remjobs: 2026-08-26T15:15:17.576Z --- # Senior Support Engineer **LanceDB** — Americas timezones Apply: https://jobs.ashbyhq.com/lancedb/2fa13bf0-6f20-4ef0-a2d9-120018b7ee02 ## About LanceDB The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster. ## About the role **About LanceDB** LanceDB is a high-performance, open-source, cloud-native database built for multimodal workflows. From vector search at multi-billion scale to real-time retrieval, feature engineering, and analytics across large-scale datasets, LanceDB powers AI data infrastructure. We’re looking for a hands-on, technically strong Support Engineer who will be the bridge between our engineering team and enterprise users of LanceDB, helping our customers debug distributed databases built in Rust. #### Your Role - 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. #### What We’re Looking ForMust-have (please do not apply unless you meet all of the criteria in this section) - 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. #### Nice-to-have - Proficiency in Rust: you should be comfortable reading, navigating, and debugging code; ideally you’ve built or debugged production-quality systems written in Rust. - 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. - Experience deploying and monitoring systems in large-scale production environments: logging/observability (e.g., Prometheus, Grafana, OpenTelemetry), alerting, SLOs/SLAs. - Previous experience creating new runbooks, selecting and configuring support ticketing systems, and defining incident response processes. #### Why Join Us You’ll join a world-class team of open-source builders (co-authors of pandas, and contributors to HDFS, Arrow, Iceberg, and HBase) working on cutting-edge AI infrastructure. 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. --- Source: LanceDB's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/lancedb-senior-support-engineer-93c26d12-6d48-43c9-b4b9-27b2dd01c7f2