Glean WorkSenior Site Reliability Engineer
Glean Work is hiring a Senior Site Reliability Engineer in Mountain View, United States. It pays $200k-$260k a year and Level rates it ; you can apply on Glean Work.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting allows some remote work.
- Tools and skills the posting cites include Kubernetes, Terraform and AWS.
- Level lists 130 other open roles at Glean Work.
- The role was posted in the last few days.
AI in this role
Design, build, and operate resilient cloud infrastructure and reliability for an enterprise AI platform.
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.
#LI-HYBRID
AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
How we rate this
Senior Site Reliability Engineer at Glean Work rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where site reliability was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where incident management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Site Reliability, Cloud Infrastructure, Observability, and Incident Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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