Infrastructure Engineer
1047 GamesFull Time
Expert & Leadership (9+ years)
Candidates should have 3+ years of experience, a BS/BA in computer science or a related degree, and experience working on infrastructure for distributed systems or cloud-native applications. Experience with storage systems such as databases, object stores, or distributed file systems is required. Familiarity with cloud-native development practices in GCP/AWS/Azure is a plus, and strong coding skills in languages like Go/Python/Java/C++ with an emphasis on reliability and scale are essential.
The Backend/Infrastructure Engineer will build and evolve the storage layer for Glean's AI-powered knowledge management platform, ensuring high availability, performance, security, and cost-effectiveness. They will own storage systems for sensitive data, enabling millions of searches and workflows, and deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring across multiple cloud providers. Responsibilities include owning infrastructure problems from inception to launch, writing design documents and code, collaborating with the team to prioritize roadmap projects, and mentoring junior engineers.
AI-powered search tool for workplace productivity
Glean enhances workplace productivity by providing an AI-powered search tool that works across all applications within a company. This tool utilizes deep learning-based Language Models to understand natural language queries, allowing users to find information more easily. It continuously learns from the specific language and context of a company, improving the relevance of search results without manual adjustments. Additionally, Glean offers a chat assistant that can analyze and summarize information from various company documents and conversations, further increasing efficiency. Unlike many competitors, Glean's focus on natural language processing and its ability to adapt to a company's unique context set it apart. The goal of Glean is to streamline information retrieval in the workplace, making it accessible and efficient for all types of organizations, from startups to large enterprises.