> Markdown version of [/jobs/ext/3715382-software-engineer](https://www.wearedevelopers.com/jobs/ext/3715382-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Zoom Video Communications, Inc. - **Location:** San Jose, CA, United States (Remote available) - **Salary:** $98,900.0 - $228,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Github, Python (Programming Language), PostgreSQL, OnyX for Mac, Open Source Technology, Software Engineering, Enterprise Search, Enterprise Data Management, Enterprise Software Applications, ReactJS, Large Language Models, AI Platforms, Front End Software Development - **Published:** October 13, 2026 - **Apply:** https://zoom.wd5.myworkdayjobs.com/Zoom/job/San-Jose-CA/Software-Engineer_R19747-1 ## About the Role * Demonstrated engineering judgment and deep craft, applied through direct exposure to customers and the open-source community to deliver features that meaningfully improve user experience. * A track record of taking ambiguous problems to reliable solutions with high ownership and substantial, measurable results. * Proficiency with the latest AI development tools, paired with clear opinions on maintaining quality, reliability, and maintainability as engineering practices evolve. * Strong backend engineering experience in complex, data-intensive systems; frontend skills are a plus. * Experience building and operating enterprise software at the reliability, security, and scale demanded by large customers. * Comfort thriving in a fast-moving environment while effectively navigating collaboration across a larger engineering organization. * An appetite for broad contribution across a growing product and business, from core engineering and infrastructure through go-to-market exposure. ## Description As a Staff Software Development Engineer on the Onyx team, you'll work at the intersection of enterprise search and generative AI, contributing to a platform that processes millions of queries weekly for organizations like NASA and Hudson River Trading. This is a high-ownership, high-impact role on a small, founder-led team: you'll drive problems from initial discovery through production, with direct visibility into customer outcomes and the open-source community. Working closely with Zoom's AI research and product teams, you'll shape both the technical direction of a growing product and the engineering practices that support it. This position requires on-site presence five (5) days per week at our San Francisco, CA office. Remote or hybrid arrangements are not available for this role. About the Team Onyx joined Zoom through acquisition and is building enterprise search and an AI platform for security-conscious organizations. In under three years, the platform grew to hundreds of thousands of users, over one million queries per week, and 30,000 GitHub stars, serving customers including NASA, Hudson River Trading, and Nebius. Our team of roughly a dozen engineers operates across the full product line, from infrastructure and engineering to customer relationships, and works in close collaboration with Zoom's AI research teams on LLMs, classifiers, and embedding models. Responsibilities * Build capabilities across the Onyx platform that translate advances in NLP and generative AI into reliable, high-value customer experiences. * Solve deep technical challenges in search quality, scalability, and performance at the scale of terabytes of enterprise data. * Own problems from discovery through design, implementation, and production operation, with full accountability for customer outcomes. * Collaborate with Zoom's AI and product teams to develop integrations that amplify value across both product lines and deepen Onyx's competitive position. * Develop fluency across a modern stack (React, Python, Postgres, AWS) and adapt readily to additional technologies as the product evolves. * Shape technical direction and engineering practices as the team and product scale. * Contribute across the full scope of a growing product line, including engineering, infrastructure, rollouts, and exposure to go-to-market initiatives.