{"schemaVersion":"jobsearcher.job.v1","id":"feb2b03986ba2dcd5b503ca0","url":"https://jobsearcher.com/jobs/feb2b03986ba2dcd5b503ca0","canonicalUrl":"https://jobsearcher.com/jobs/feb2b03986ba2dcd5b503ca0","title":"DevOps Engineer","description":"Company DescriptionCORTEX focuses on solving the challenge that AI currently lacks persistent access to the state of scientific environments. By building systems that capture, manage, and expose real-time scientific context, CORTEX aims to make AI more effective for researchers and technical teams. The company is dedicated to bridging the gap between advanced AI models and complex, evolving lab and production environments. We’re looking for a hands-on engineer to build and operate the infrastructure behind our data ingestion, processing, and retrieval pipelines.\r\nRole DescriptionThis is a full-time, on-site DevOps Engineer role based in the San Francisco Bay Area. The DevOps Engineer will design, build, and maintain scalable infrastructure to support AI-driven scientific applications, with a focus on reliability, observability, and performance. Day-to-day responsibilities include implementing and managing infrastructure as code, maintaining CI pipelines, handling system administration tasks, and optimizing Linux-based environments.\r\nQualifications\r\nExperience operating production systems on AWS, Azure, or GCP.\r\nStrong working knowledge of Linux, Docker, infrastructure as code, and Python or another scripting language.\r\nExperience with databases, object storage, queues, and data pipelines. Vector database experience is a plus.\r\nComfortable taking ownership in an early-stage team, making practical architecture decisions, and debugging systems across the stack.\r\nStrong proficiency in Infrastructure as Code (IaC) tools and practices (e.g., Terraform, CloudFormation, or similar).\r\nAdvanced skills working with Linux-based systems in production environments.\r\nKnowledge of networking fundamentals, security best practices, and observability (logging, metrics, tracing).\r\nAbility to collaborate effectively with cross-functional teams and communicate technical concepts clearly.\r\nWhat You Will Build\r\nBuild reliable cloud infrastructure for ingesting and processing data from customer storage systems and laboratory instruments.\r\nOperate databases, object storage, and background workers, with robust retries, monitoring, and failure recovery.\r\nDesign backup, versioning, retention, and disaster recovery workflows—and verify that restores work.\r\nPartner with backend and ML engineers to support reliable indexing, propagate data updates, and manage performance and infrastructure costs.#J-18808-Ljbffr","company":"Cortex","rawCompany":"cortex","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-13T01:30:51.255Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Engineer","description":"Company DescriptionCORTEX focuses on solving the challenge that AI currently lacks persistent access to the state of scientific environments. By building systems that capture, manage, and expose real-time scientific context, CORTEX aims to make AI more effective for researchers and technical teams. The company is dedicated to bridging the gap between advanced AI models and complex, evolving lab and production environments. We’re looking for a hands-on engineer to build and operate the infrastructure behind our data ingestion, processing, and retrieval pipelines.\r\nRole DescriptionThis is a full-time, on-site DevOps Engineer role based in the San Francisco Bay Area. The DevOps Engineer will design, build, and maintain scalable infrastructure to support AI-driven scientific applications, with a focus on reliability, observability, and performance. Day-to-day responsibilities include implementing and managing infrastructure as code, maintaining CI pipelines, handling system administration tasks, and optimizing Linux-based environments.\r\nQualifications\r\nExperience operating production systems on AWS, Azure, or GCP.\r\nStrong working knowledge of Linux, Docker, infrastructure as code, and Python or another scripting language.\r\nExperience with databases, object storage, queues, and data pipelines. Vector database experience is a plus.\r\nComfortable taking ownership in an early-stage team, making practical architecture decisions, and debugging systems across the stack.\r\nStrong proficiency in Infrastructure as Code (IaC) tools and practices (e.g., Terraform, CloudFormation, or similar).\r\nAdvanced skills working with Linux-based systems in production environments.\r\nKnowledge of networking fundamentals, security best practices, and observability (logging, metrics, tracing).\r\nAbility to collaborate effectively with cross-functional teams and communicate technical concepts clearly.\r\nWhat You Will Build\r\nBuild reliable cloud infrastructure for ingesting and processing data from customer storage systems and laboratory instruments.\r\nOperate databases, object storage, and background workers, with robust retries, monitoring, and failure recovery.\r\nDesign backup, versioning, retention, and disaster recovery workflows—and verify that restores work.\r\nPartner with backend and ML engineers to support reliable indexing, propagate data updates, and manage performance and infrastructure costs.#J-18808-Ljbffr","datePosted":"2026-11-13T01:30:51.255Z","dateModified":"2026-11-13T01:30:51.255Z","hiringOrganization":{"@type":"Organization","name":"Cortex","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"feb2b03986ba2dcd5b503ca0"},"url":"https://jobsearcher.com/jobs/feb2b03986ba2dcd5b503ca0"}}