Senior Site Reliability Engineer
✨ AI Summary
Glean, a Work AI platform company, is hiring a Senior Site Reliability Engineer in Mountain View, CA. The role focuses on designing resilient cloud infrastructure, automating operations, and managing incidents within a hybrid cloud environment. Candidates require a Bachelor's degree in Computer Science and 5+ years of senior-level SRE experience.
Glean is looking for a Senior Site Reliability Engineer to strengthen the reliability, scalability, and operational excellence of our production services. In this hands-on individual-contributor role, you’ll design, build, and operate resilient cloud infrastructure; improve service reliability against meaningful SLOs; and help teams respond to production issues through effective observability, incident practices, and blameless learning. You’ll contribute technical expertise to system and architectural decisions and partner with engineers across the organization to deliver dependable systems.
Glean’s rapid growth brings complex distributed-systems challenges across a hybrid cloud environment. You’ll use your software engineering and SRE skills to automate repetitive work, build tools, and improve deployment, monitoring, and on-call workflows. From investigating incidents and reducing toil to optimizing performance, capacity, and cost, your work will help Glean scale while providing customers with a reliable experience.
You will:
- Technical Leadership and Mentorship: Play a key role in driving technical excellence and fostering a culture of reliability across engineering teams. You will lead by example, setting best practices for incident management, performance optimization, and automation. Influence best practices, drive cross-team collaborations, and contribute to the execution of key objectives in alignment with engineering leadership and cross-functional partners. Establish strong technical credibility, shaping architectural decisions and ensuring the delivery of high-quality, reliable systems.
- Ensure High Availability: Implement and maintain resilient cloud architectures, monitor system performance, and proactively identify and resolve potential bottlenecks or points of failure.
- Incident Management: Participate in primary oncall rotation; cultivate technical curiosity and growth mindset, and a blameless postmortem culture within the team. 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. Your contributions will be vital in efficiently scaling cloud operations.
- 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 to gain insights into system behavior, 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 entire software development lifecycle. Participate in system design reviews and provide valuable SRE insights during launch reviews, influencing and enhancing system architecture.
About you:
- 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
Location:
- This role is hybrid (4 days a week in our Mountain View Office)
Compensation & Benefits:
The standard base salary range for this position is $200,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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About the Company
About Glean:
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.
Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.
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