{"schemaVersion":"jobsearcher.job.v1","id":"f9bab32d65f41253aa83cb4a","url":"https://jobsearcher.com/jobs/f9bab32d65f41253aa83cb4a","canonicalUrl":"https://jobsearcher.com/jobs/f9bab32d65f41253aa83cb4a","title":"DevOps Engineer","description":"Company Description CORTEX 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.Role Description This 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. QualificationsExperience operating production systems on AWS, Azure, or GCP.Strong working knowledge of Linux, Docker, infrastructure as code, and Python or another scripting language.Experience with databases, object storage, queues, and data pipelines. Vector database experience is a plus.Comfortable taking ownership in an early-stage team, making practical architecture decisions, and debugging systems across the stack.Strong proficiency in Infrastructure as Code (IaC) tools and practices (e.g., Terraform, CloudFormation, or similar).Advanced skills working with Linux-based systems in production environments.Knowledge of networking fundamentals, security best practices, and observability (logging, metrics, tracing).Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.What You Will BuildBuild reliable cloud infrastructure for ingesting and processing data from customer storage systems and laboratory instruments.Operate databases, object storage, and background workers, with robust retries, monitoring, and failure recovery.Design backup, versioning, retention, and disaster recovery workflows—and verify that restores work.Partner with backend and ML engineers to support reliable indexing, propagate data updates, and manage performance and infrastructure costs.","company":"Cortex","rawCompany":"cortex","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-04T09:22:15.147Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"DevOps Engineer","description":"Company Description CORTEX 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.Role Description This 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. QualificationsExperience operating production systems on AWS, Azure, or GCP.Strong working knowledge of Linux, Docker, infrastructure as code, and Python or another scripting language.Experience with databases, object storage, queues, and data pipelines. Vector database experience is a plus.Comfortable taking ownership in an early-stage team, making practical architecture decisions, and debugging systems across the stack.Strong proficiency in Infrastructure as Code (IaC) tools and practices (e.g., Terraform, CloudFormation, or similar).Advanced skills working with Linux-based systems in production environments.Knowledge of networking fundamentals, security best practices, and observability (logging, metrics, tracing).Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.What You Will BuildBuild reliable cloud infrastructure for ingesting and processing data from customer storage systems and laboratory instruments.Operate databases, object storage, and background workers, with robust retries, monitoring, and failure recovery.Design backup, versioning, retention, and disaster recovery workflows—and verify that restores work.Partner with backend and ML engineers to support reliable indexing, propagate data updates, and manage performance and infrastructure costs.","datePosted":"2026-11-04T09:22:15.147Z","dateModified":"2026-11-04T09:22:15.147Z","hiringOrganization":{"@type":"Organization","name":"Cortex","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f9bab32d65f41253aa83cb4a"},"url":"https://jobsearcher.com/jobs/f9bab32d65f41253aa83cb4a"}}