Software Engineer, Backend

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 looking for Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system that makes all the relevant enterprise knowledge readily available to employees in all contexts of their work. The role provides ample opportunities to work on various aspects of building a modern cloud-native application stack using the latest best practices  - examples of some technical challenges you can work on are building a scalable, reliable distributed system and underlying storage, a unified application framework and data model that makes it easy to index diverse sources of information, end-to-end aspects of security - application layer, platform layer as well as IT security, laser focus on making the experience feel instant, while at the same time balancing the system cost implications, and tooling for comprehensive monitoring and deployment of the system in multiple cloud environments.

You will:

• Own impactful infrastructure problems from inception and architecture to production launch
• Write well thought out design documents and robust, high-quality and well-tested code
• Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap
• Mentor more junior engineers or learn from battle tested ones

You are:

• 3+ years of experience
• BA/BS in computer science, or related degree
• Experience working on infrastructure for distributed systems or cloud-native applications
• Able to thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
• Proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features
• Adept at coding(for example in Go/Python/Java/C++ etc) with an emphasis on designing for reliability and scale, and writing well-tested components
• Familiarity with cloud native development practices in GCP/AWS/Azure is a plus

Location: 

• This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $265,000 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.

#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.