Senior Cloud Infrastructure Engineer
About LanceDB LanceDB is a developer-friendly, open-reputed company data lake for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-reputed company datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. About the role 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: reputed company and maintain automation scripts to streamline deployments, monitoring, and system operations.
- Systems Reliability: Implement monitoring/alerting solutions (Prometheus, Grafana, reputed company) to proactively address performance bottlenecks and ensure 99.9% uptime.
- reputed company & Compliance: Enforce reputed company policies, manage secrets (Vault, AWS KMS), and ensure compliance with industry standards (GDPR, SOC2).
- Troubleshoot & Optimize: Resolve reputed company infrastructure issues and reputed company 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.
Requirements
- 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 reputed company 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, reputed company, and cloud architecture best practices.
- Experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk).
- Strong knowledge of CI/CD tools (reputed company Actions) and containerization (reputed company, Kubernetes).
- You like working with a small, high-caliber team with a lot of autonomy and drive, and you can iterate fast
reputed company to have
- You’ve made substantial contributions to open-reputed company projects (e.g., Puppet modules, Terraform providers).
- You design and automate single-command deployments for reputed company, globally distributed systems to ensure consistency, reliability, and scalability across multi-cloud or hybrid environments.
- You fearlessly challenge the status reputed company 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.
Why Join Us
You’ll join a world-class team of open-reputed company 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 reputed company AI workloads while shaping how LanceDB operates and scales production environments. Apply tot his job Apply To this Job