Software Engineer
Glean
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Preparing for this interview
Interviews for software roles keep coming back to Python, Java, AWS, System design. Practise those questions before you sit with Glean.
Questions you are likely to be asked
- Why do you want to join Glean?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Software Engineer at Glean interview free →About the Role
Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.
What You Will Do
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Design, develop, and maintain full-stack applications spanning front-end interfaces, REST APIs, and application servers.
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Build large-scale, fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.
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Perform thorough code reviews for peers, including interface design, code quality, and testing strategies.
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Understand customer requirements and implement them in our solution.
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Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively and with high quality.
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Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data using C++, Java, Python, or Go.
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Design and implement user interfaces that enterprise workers use to search enterprise content, and design an API to build other search-based applications.
Who You Are
- You have a Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field. Any suitable combination of education, training and experience is acceptable.
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You have experience with Machine Learning/Deep Learning.
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You have experience with Machine Learning Operations (MLOps).
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You have experience with Python.
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You have experience with PyTorch.
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You have experience with TensorFlow.
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You have experience with Anomaly Detection.
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You have experience with Scikit-learn.
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You have experience with AWS.
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You have experience with NLP.
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You have experience with Security and data engineering.
Location: Mountain View, CA. Telecommuting is an option.
Compensation & Benefits
The standard base salary range for this position is $215,000 - $278,900 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.
Submit a resume with references using the apply button on this posting or by email at:
jobs@glean.com at Req.# L24-158959.
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Listed on greenhouse · posted 2026-10-22. ApplySarthi collects openings and links to application pages; the role is advertised by Glean, not by us.