
Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
August 8
Ansible
Apache
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
HBase
HDFS
Heroku
Kubernetes
Open Source
Pandas
Prometheus
Puppet
SDLC
Splunk
Terraform
Vault

Artificial Intelligence • Enterprise • SaaS
LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.
• 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.
• 5+ years in DevOps, Cloud Infrastructure, or SRE roles, with hands-on experience in public cloud platforms (AWS, Azure, GCP, Heroku) • Expertise in IaC tools (Puppet, Terraform, Ansible, CloudFormation) and configuration management • Experience designing and managing complex production environments using Kubernetes and Helm • 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
• Medical, dental, vision, and life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off
Apply NowAugust 8
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Angular
AWS
Cloud
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Java
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