> Markdown version of [/jobs/ext/3891405-staff-software-engineer-venturaos-content-discovery-search](https://www.wearedevelopers.com/jobs/ext/3891405-staff-software-engineer-venturaos-content-discovery-search). 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). --- # Staff Software Engineer, VenturaOS - Content Discovery & Search - **Company:** The Trade Desk - **Location:** Ventura, CA, United States - **Salary:** $137,300 - $251,800 - **Contract:** Permanent contract - **Skills:** Query Performance, Distributed Computing Environment, Elasticsearch, Open Source Technology, Cloud Services, Feature Engineering, Apache Spark, Indexer, Machine Learning Operations, OpenSearch, Databricks - **Published:** October 23, 2026 - **Apply:** https://diversityjobs.com/career/18696768/Staff-Software-Engineer-Venturaos-Content-Discovery-Search-California-Ventura ## About the Role We are seeking a highly motivated software engineer with a passion content discovery and personalization: * You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful software projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing. * You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You are able to work from first principles to evaluate solutions and adapt them to a unique environment. * You understand modern data-intensive systems, have hands-on experience with distributed data processing, data indexing, building ML inference and re-training frameworks. You are also passionate about discovering personalized and relevant data to improve system effectiveness and user experience. * Experience with search systems such as OpenSearch or Elasticsearch, including indexing, query performance, ranking, relevance tuning, and search quality evaluation, is desirable. * Experience building recommendation and personalization systems, including candidate retrieval, ranking, and integrating model outputs into production services, is desirable. * Experience with distributed data processing frameworks such as Apache Spark and platforms such as Databricks, including content ingestion, transformation, feature generation, and pipelines supporting search and recommendations, is desirable. * You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You will welcome ideas that are different from your own, are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates. ## Description Our Staff Engineers are end-to-end owners. As a member of Content Discovery and Search team, you will be responsible for the design, implementation, and optimization of content discovery and search systems within Ventura TV OS cloud services. Your work will directly impact how users discover and interact with content across the platform, ensuring a seamless, high-quality experience. * Partner with application teams to design, build, and scale content discovery and search features that cater to user needs while ensuring performance, relevancy, and scalability. * Work on processing and understanding content to enhance personalization mechanisms, improving the user experience by delivering the most relevant and engaging content. * Build and manage high-performance, low-latency search systems capable of handling large and diverse content catalogs, ensuring efficient indexing, fast queries, and relevant results.