Software Engineer

at Glean

USD 215,000-278,900 per year

MIDDLE

✅ Hybrid

Tech Stack
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.

AI @ 3 API @ 3 Data Pipelines Distributed Systems @ 3 Django @ 3 Flask @ 3 Go @ 3 Java @ 3 Linux Machine Learning @ 3 Python @ 3 React @ 3 Ruby @ 3 Ruby on Rails @ 3 TypeScript @ 3

Details

Glean Technologies, Inc. is hiring Software Engineers to help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. The role spans distributed systems, data pipelines, APIs, user interfaces, and secure, high-quality products that meet customer needs.

Responsibilities

Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions.
Build large-scale, fault-tolerant distributed systems, preferably using performance benchmarking tools and performance tuning on Linux-based systems.
Perform thorough code reviews for peers, including interface design, code quality, and testing strategies.
Understand customer requirements and implement them in solutions.
Work closely with product teams to ensure features satisfy customer requirements and are delivered effectively and with high quality.
Implement data ingestion pipelines to retrieve data from enterprise data sources and build secure search indexes over that data.
Design and implement user interfaces for enterprise workers to search enterprise content.
Design APIs for building other search-based applications.

Requirements

Bachelor's degree, or foreign degree equivalent, in Computer Science, Engineering, or a related quantitative discipline, and six months of experience in the job offered or a related field.
Experience working on infrastructure for distributed systems or cloud-native applications; building full-stack applications spanning front-end, REST APIs, and application servers; training and productionizing machine learning; or developing information retrieval systems.
Experience with Go or C++.
Experience with Java, Python, TypeScript, algorithmic design, data analytics, Node, Ruby on Rails, Django, or Flask.
Experience with React.
Any suitable combination of education, training, and experience is acceptable.
Candidates will complete a brief AI-focused exercise or discussion during the interview process.