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Glean

AI-powered enterprise search across applications

Senior Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA$200k - $260k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • At least 5 years of experience in a senior-level Site Reliability Engineering or similar role, particularly managing cloud-based services and infrastructure.
  • At least 5 years of software development experience in one or more programming languages.
  • At least 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems running in the cloud.
  • Strong knowledge of cloud platforms such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Practical experience with containerization technologies, including Docker and Kubernetes.
  • Familiarity with infrastructure-as-code tools such as Terraform is essential.
  • A solid understanding of networking, security principles, and site reliability engineering and security practices.
  • Proficiency in using monitoring and alerting tools to detect and respond effectively to potential issues.

Responsibilities

  • Strengthen the reliability, scalability, and operational excellence of production services by designing, building, and operating resilient cloud infrastructure, improving service reliability against meaningful service-level objectives, and helping teams respond to production issues through observability, incident practices, and blameless learning.
  • Contribute technical expertise to system and architectural decisions and partner with engineers across the organization to deliver dependable systems.
  • Automate repetitive work, build tools, and improve deployment, monitoring, and on-call workflows across a hybrid cloud environment.
  • Drive technical excellence and a culture of reliability across engineering teams by setting best practices for incident management, performance optimization, and automation; influencing best practices; driving cross-team collaboration; contributing to objectives with engineering leadership and cross-functional partners; and shaping architectural decisions to support high-quality, reliable systems.
  • Implement and maintain resilient cloud architectures, monitor system performance, and proactively identify and resolve potential bottlenecks or points of failure.
  • Participate in the primary on-call rotation, cultivate a blameless postmortem culture, and continuously optimize the on-call process for sustainability and efficiency.
  • Develop and maintain automation scripts, tools, and processes to streamline system deployment, monitoring, and management tasks.
  • Optimize cloud infrastructure and applications for performance, scalability, and cost-effectiveness.
  • Collaborate with security engineers to implement best practices and ensure compliance with security standards and policies.
  • Design and configure monitoring systems, set up alerts, and respond proactively to potential issues. Create and maintain comprehensive dashboards and playbooks for production on-call.
  • Participate throughout the software development lifecycle, join system design and launch reviews, and provide SRE insights that influence and improve system architecture.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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