Senior Cloud Infrastructure Engineer

LanceDB is a developer-friendly, open-source data lake 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, and powers some of the most groundbreaking applications and challenging requirements today.

We’re seeking a seasoned Cloud Infrastructure Engineer with deep expertise in automation, infrastructure-as-code (IaC), and cloud platform management. You’ll design, deploy, and maintain robust cloud environments while collaborating with cross-functional teams to streamline CI/CD pipelines, enhance system reliability, and drive operational excellence.

As a Cloud Infrastructure Engineer at LanceDB, your responsibilities will include:

• Design & Build Cloud Infrastructure: Architect and manage secure, scalable cloud environments (AWS, Azure, GCP) using IaC tools like Terraform and CloudFormation.

• Automate Everything: Develop and maintain automation scripts to streamline deployments, monitoring, and system operations.

• Systems Reliability: Implement monitoring/alerting solutions (Prometheus, Grafana, Datadog) to proactively address performance bottlenecks and ensure 99.9% uptime.

• Security & Compliance: Enforce security policies, manage secrets (Vault, AWS KMS), and ensure compliance with industry standards (GDPR, SOC2).

• Troubleshoot & Optimize: Resolve complex infrastructure issues and lead cost-optimization initiatives for cloud resources.

• Collaborate & Mentor: Partner with software engineering teams to integrate DevOps practices into SDLC and mentor junior engineers on IaC and cloud best practices.

• 10+ years in DevOps, Cloud Infrastructure, or SRE roles, with hands-on experience in public cloud platforms (AWS, Azure, GCP, Heroku).

• Strong experience operating and supporting production distributed systems and/or databases-as-a-service in a public cloud service provider, where it was the primary product for the company. This excludes being a user of an cloud service provider's database such as RDS or BigQuery. Bonus points for experience crafting multitenant solutions. This is a hard requirement; applicants without this experience will not qualify for this role.

• Experience designing and managing complex production environments using Kubernetes and Helm. This is a hard requirement; applicants without this experience will not qualify for this role.

• Expertise in IaC tools (Puppet, Terraform, Ansible, CloudFormation) and configuration management.

• Deep understanding of networking, security, and cloud architecture best practices.

• Experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk).

• Strong knowledge of CI/CD tools (GitHub Actions) and containerization (Docker, Kubernetes).

• You like working with a small, high-caliber team with a lot of autonomy and drive, and you can iterate fast

• You’ve made substantial contributions to open-source projects (e.g., Puppet modules, Terraform providers).

• You design and automate single-command deployments for complex, globally distributed systems to ensure consistency, reliability, and scalability across multi-cloud or hybrid environments.

• You fearlessly challenge the status quo and dismiss mediocre engineering as unacceptable.

• You have worked on distributed large-scale systems, with a good understanding of how to using tracing tools to identify bottlenecks.

  • Experience building large-scale semantic search and/or caching systems is especially relevant.

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 collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.