Used Tools & Technologies
IaCRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Terraform @ 3
GCP @ 3
GitHub @ 3
AWS @ 3
Communication @ 3
Networking @ 6
CCPA @ 3
GDPR @ 3
ServiceNow @ 3
API @ 3
LLM @ 3
AI @ 3
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
Glean is seeking a Software Engineer to join our Platform Infrastructure team. This team is in the Platform org and focuses on customer setup and deployment, especially in complex cloud, hosting, and security environments. You will help build the systems that bootstrap cloud accounts and projects, wire authentication, and turn deployment workflows into reliable, repeatable productized experiences for customers.
This is a strong fit for an engineer who enjoys cloud infrastructure, networking, infrastructure as code, and solving real-world deployment problems with clean software abstractions.
Responsibilities
- Build and improve systems that automate customer setup and deployment across cloud environments.
- Develop deployment workflows and infrastructure as code templates that mirror customer environments and reduce manual setup work.
- Improve support for complex deployment scenarios including BYO-VPC, customer-managed keys, airgapped environments, and custom-region deployments.
- Work on cloud account and project bootstrapping, authentication wiring, proxy and private networking, and deployment orchestration.
- Partner closely with Platform, Security, Product, and customer-facing teams to make deployments faster, safer, and easier to operate.
- Raise the quality, reliability, and coverage of our AWS and GCP deployment tooling over time.
Requirements
- 4+ years of professional software engineering experience, ideally in platform, infrastructure, or cloud-focused roles.
- Solid backend engineering fundamentals and the ability to work across infrastructure-heavy systems.
- Hands-on experience with cloud infrastructure in AWS and GCP.
- Experience with Terraform or other infrastructure-as-code tools.
- Strong networking fundamentals, including VPCs, subnets, routing, proxies, and private connectivity.
- Experience building or improving deployment automation, onboarding workflows, internal cloud platforms, or customer-environment setup systems.
- Ability to balance engineering rigor with pragmatism and turn complex setup problems into repeatable productized systems.
- Clear communication, cross-functional collaboration, and comfort taking ownership in an evolving environment.
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 - $270,000 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 Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan. New hires receive a home office improvement stipend, and annual education and wellness stipends. The company also provides regular events and daily healthy lunches.
AI-First Mindset at Glean
AI fluency is core to how Glean works. As part of the interview process, candidates complete a brief AI-focused exercise or discussion to show how they think about, design, and use AI to drive impact in their role.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, GDPR, CCPA, or other privacy laws may regulate how Glean manages applicant data. The full notice is available in Glean's privacy policy. By submitting an application, candidates agree to the processing of their data as described. US applicants are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement.