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Senior Site Reliability Engineer

Glean - Mountain View, CA, United States - Hybrid - posted 2026-10-23

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Salary: USD 200,000 - 260,000 / annual

Glean is a Work AI platform that helps enterprises work smarter with AI through intelligent search, AI assistants, and scalable AI agents. The company has evolved from advanced enterprise search into a full-scale Work AI ecosystem with 100+ enterprise SaaS connectors, flexible LLM choice, and robust APIs. Glean serves customers across 50+ industries with 1,000+ employees in 25+ countries and has been recognized by Fast Company (Top 10 Most Innovative), CNBC Disruptor 50, Bloomberg AI Startups to Watch, Forbes AI 50, and Gartner's Tech Innovators in Agentic AI. In this hands-on Senior Site Reliability Engineer role, you will design, build, and operate resilient cloud infrastructure to strengthen the reliability, scalability, and operational excellence of production services. You'll improve service reliability against meaningful SLOs and help teams respond to production issues through effective observability, incident practices, and blameless learning. This is an individual-contributor position where you'll contribute technical expertise to system and architectural decisions and partner with engineers across the organization. Key responsibilities include: - Technical Leadership and Mentorship: Drive technical excellence and foster a culture of reliability across engineering teams. Lead by example, set best practices for incident management and performance optimization, influence cross-team collaborations, and shape architectural decisions. - Ensure High Availability: Implement and maintain resilient cloud architectures, monitor system performance, and proactively identify and resolve bottlenecks or points of failure. - Incident Management: Participate in primary on-call rotation, cultivate a blameless postmortem culture, and continuously optimize the on-call process for sustainability and efficiency. - Automation and Tooling: Develop and maintain automation scripts, tools, and processes to streamline system deployment, monitoring, and management tasks. - Performance Optimization: Optimize cloud infrastructure and applications for performance, scalability, and cost-effectiveness. - Security and Compliance: Collaborate with security engineers to implement best practices and ensure compliance with security standards and policies. - Monitoring and Alerting: Design and configure advanced monitoring systems, set up alerts, and respond proactively to potential issues. Create and maintain comprehensive dashboards and playbooks for production on-call. - Software Development Consultation: Engage actively in the software development lifecycle, participate in system design reviews, and provide SRE insights during launch reviews. Glean's rapid growth brings complex distributed-systems challenges across a hybrid cloud environment. You'll use software engineering and SRE skills to automate repetitive work, build tools, and improve deployment, monitoring, and on-call workflows. Your work will help Glean scale while providing customers with a reliable experience. The role is hybrid, requiring 4 days per week in the Mountain View office. REQUIREMENTS: - Bachelor's degree in Computer Science, a related field, or equivalent practical experience - 5+ years of experience in a senior-level role within Site Reliability Engineering or similar role, particularly in managing cloud-based services and infrastructure - 5+ years of experience with software development in one or more programming languages - 3+ years of experience leading projects and designing, analyzing, and troubleshooting distributed systems running in Cloud - Strong knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure - Practical experience with containerization technologies, including Docker and Kubernetes. Familiarity with infrastructure as code tools like Terraform is essential - Solid understanding of networking, security principles, and best SRE and security practices - Proficiency in using monitoring and alerting tools to detect and respond to potential issues effectively

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