Cloud Infrastructure Engineer
About the role
You will:
- Own the infrastructure stability for your designated customer(s). Assist the Engineering teams in monitoring alerts and troubleshooting errors in the customer’s Glean environment.
- Actively engage in any customer major incident and write up, deliver, and lead the customer review of any post-incident RCA documents.
- Coordinate and execute software releases based on agreed-upon processes & maintenance windows.
- Set up new customer projects following Glean’s architectural design and best practices. Complete project setup in restricted environments, including running Terraform or other setup scripts manually.
- Remediate any security vulnerabilities in your customers’ projects.
- Work with customers and Glean’s Security team to maintain security policies, including VPC SC, SCC, NGFW configs.
- Maintain security vulnerability findings and work with Glean Security and Engineering teams to address them within agreed-upon timeframes with customers.
- Absorb and communicate customer-impacting alerts which require coordination with customer admin and system resources through resolution.
- Represent the unique needs of your assigned customer(s) with respect to product and security improvements that will improve the customer support experience.
- Create and maintain customer-specific runbooks and knowledge articles.
- Provide first response, technical troubleshooting, resolution, and follow-through of customer issues and inquiries.
- Assist customers in the configuration, set-up, and verification of new content sources and product features to enable them to realize additional value for their users.
Requirements
Experience and certifications in Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
Experience with deployment and release using CI/CD and standard deployment frameworks in a production environment.
Deep knowledge of cloud network and security concepts with practical implementation experience.
Knowledge of SQL/database, Basic Kubernetes and Intermediate/Advanced Linux. Familiarity with infrastructure as code tools like Terraform is essential.
Problem solving: technical problem-solving skills including the ability to troubleshoot and isolate issues to their root cause in cloud environments.
Ability to debug issues including searching & reading application logs, analyzing stack traces and browser trace files.
2+ years of coding and debugging experience in Java and Python.
3+ years of experience in at least one of the following disciplines: Infrastructure Support, Solutions Engineering, Support Engineering, Professional Services, DevOps Engineering.
Must have experience in troubleshooting REST API issues.
Working experience on SSO, SAML, and OAuth along with network troubleshooting.
Experience in using Github, Jira & Confluence.
Basic knowledge of LLM’s and how GPT works (preferred).
Able to fully document issues you manage and contribute to the support knowledge base (preferred).
Hands-on experience in at least one of the following: Search technologies, Knowledge technologies, SaaS-based system integrations (preferred).
Qualifications
This role is hybrid (4 days a week in our Mountain View office).
The standard base salary range for this position is $144,000 - $174,000 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 are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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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.
Pay
The standard base salary range for this position is $144,000 - $174,000 annually.
Schedule
This role is hybrid (4 days a week in our Mountain View office).