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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Greenhouse Software, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Data Warehousing, Software Debugging, Distributed Data Store, Distributed Systems, Monitoring of Systems, Python (Programming Language), Regression Analysis, Open Source Technology, Software Product Management, Software Engineering, Workflow Management Systems, Cloud Platform System, Large Language Models, Backend, Build Management, Build Tools, Data Management, Machine Learning Operations, Software Coding, Golang - **Published:** August 18, 2026 - **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4712438005 ## About the Role * You have 6+ years of software engineering experience building backend systems, infrastructure, distributed systems, or data platforms. * You have strong coding skills in Go, Python, Java, C++, or similar languages, with an emphasis on reliability, scale, and well-tested components. * You are comfortable working with distributed data pipelines, production services, observability systems, or cloud-native infrastructure. * You are analytically rigorous and care about whether metrics reflect real user experience, not just whether dashboards look good. * You enjoy customer-focused, cross-functional environments and are willing to take on whatever is most impactful for the company. * You care deeply about quality, both in the systems you build and in the AI product you help measure and improve. * Experience with LLM applications, evals, tracing, data warehouses, workflow orchestration, or ML infrastructure is a strong plus. ## Description We are looking for backend and infrastructure engineers in Bangalore to build the platforms that measure, explain, and improve AI quality at scale. You will own core systems for running large-scale evaluations, processing traces, powering observability workflows, and giving engineers clear signals about assistant and agent behavior - including how Glean evaluates frontier model releases and the latest open-source model drops before they shape customer-facing AI experiences. This role is ideal for someone who loves building reliable distributed systems, cares deeply about product quality, and wants their infrastructure work to directly shape how AI products are shipped. You will work on systems that need to be scalable, secure, permissions-aware, fast, and cost-efficient. You will * Design and build large-scale evaluation pipelines that measure assistant and agent quality across thousands of real user and synthetic workflows. * Evaluate frontier model releases and the latest OSS model drops, building the infrastructure and quality signals that help Glean understand regressions, tradeoffs, and launch readiness. * Build agent observability infrastructure, including trace enrichment, durable telemetry pipelines, dashboards, and debugging workflows that make AI behavior inspectable. * Own backend systems from architecture and design docs through production rollout, reliability, monitoring, and iteration. * Partner with product, ML, and infrastructure engineers to make evals a first-class part of how Glean ships AI features. * Improve the quality loop by connecting eval results, customer feedback, regression analysis, and engineering workflows into concrete product improvements. * Build systems that balance speed, reliability, enterprise security, and cost across modern cloud-native environments. * Mentor other engineers, raise the bar for technical design, and help shape the engineering culture of Glean's Bangalore AI quality team., 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. 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., Website How did you hear about Glean?* Select... Please input the total years of experience you have that are relevant for this role.* What AI tools are you currently using today and how are you using them?* Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Glean's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. 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