G
Glean
Lead Site Reliability Engineer
Skills
Google Cloud PlatformDockerAWSKubernetesComplianceTerraformAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$200,000 – $260,000 / year
Location:
Mountain View, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- Glean is seeking a Site Reliability Engineering Lead to foster a culture of engineering excellence, drive technical strategy, and develop a high-performing, collaborative team
- Your role is pivotal in ensuring our services meet stringent Service Level Objectives (SLOs) and in building resilient, automated production environments in the cloud
- You’ll lead a team and be responsible for products globally, providing technical leadership to key projects and empowering your team to do the same
- Much of our software development focuses on building infrastructure to scale our operations in a hybrid cloud environment and eliminating work through automation
- On the SRE team, you’ll have the opportunity to manage the complex challenges of scale and fast growth which are unique to Glean, while using your expertise in coding, algorithms, problem-solving, and SRE practices
- We keep Glean applications up and running, ensuring our customers have the best and most reliable experience possible
- 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- Practical experience with containerization technologies, including Docker and Kubernetes. Familiarity with infrastructure as code tools like Terraform is essential
- 5+ years of experience with software development in one or more programming languages
- Solid understanding of networking, security principles, and best SRE and security practices
- 3+ years of experience managing people or teams, leading projects, and designing, analyzing, and troubleshooting distributed systems running in Cloud
- 8+ years of experience in a senior-level role within Site Reliability Engineering or similar role, particularly in managing cloud-based services and infrastructure
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
- Strong knowledge of cloud platforms such as Google Cloud Platform, AWS, or Azure
- Proficiency in using monitoring and alerting tools to detect and respond to potential issues effectively- 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
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