Software Engineer, Storage

the Role: Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You’ll own the storage systems that handle Glean’s most sensitive data — from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale. 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: 5+ years of experience BA/BS in computer science, or related degree Experience working on infrastructure for distributed systems or cloud-native applications Experience with storage systems (e.g., databases, object stores, or distributed file systems) Key knowledge and skills: 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 A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Strong coding skills (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 (4 days a week in our Mountain View office)

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.

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