{"schemaVersion":"jobsearcher.job.v1","id":"c819791de9fbae59a9dfe6b3","url":"https://jobsearcher.com/jobs/c819791de9fbae59a9dfe6b3","canonicalUrl":"https://jobsearcher.com/jobs/c819791de9fbae59a9dfe6b3","title":"Software Engineer - Data Platform (Staff+)","description":"About CogentCogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's \"AI Taskforce\" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:\r\nTop universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo\r\nUnicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase\r\nWorld class cybersecurity experts from Wiz, Abnormal AI, Zscaler\r\nPreeminent research labs like Deepmind and SAIL\r\nAbout the RoleWe are looking for Founding and Staff-level Engineers to design and implement the foundational pillars of Cogent's data platform and integration pipeline in order to reliably ingest and normalize enterprise data sources across many corporate and IT systems and then to enable the transformation of that data into a knowledge base that can be leveraged by other GenAI systems.What You'll Do & AchieveBuild the new standard for ingesting and extracting enterprise data\r\nYour role will involve building data connectors, running data pipelines, and extracting insights and context from our customer's enterprise environments.\r\nYou should get excited about building robust and secure backend systems that handle large volumes of data, ETLs, as well as reimagining how enterprise security teams should extract, store and access data.Design highly performant data pipelines and indexing strategies that enable Applied AI use cases like semantic search and retrieval augmented generation\r\nWork with Applied AI teams to taxonomize, correlate and deduplicate data across various enterprise sources, and architect indexing, storage and query strategies for data in Cogent's data lake.Architect the modern data platform for Gen AI\r\nThe LLM stack and Gen AI landscape is changing everyday. You'll be front and center of making build vs buy decisions for various tools and services needed by the data platform, and integrating these decisions into our broader architecture and tech roadmap.\r\nImplement generalizable design patterns and system components that allow us to scale from 1 integration to thousands of integrationsWhat You'll Bring5+ years of professional experience as a hands-on engineer and technical leader leading multiple projects\r\nExperience building data pipelines for Information Retrieval Systems (such as knowledge graphs, search engines, or similar) for enterprise use cases\r\nExperience in ETL orchestration and workflow management tools (such as Temporal, Airflow) as well as building batch processing and streaming systems with tools like Apache Kafka/Flink\r\nExpert in database fundamentals, SQL, data reliability practices and distributed computing\r\nExperience working fluently with standard orchestration & deployment technologies like Kubernetes, Terraform, Docker, Databricks, etc in multiple cloudsFor California Based ApplicantsThe standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.","company":"Cogent Security","rawCompany":"cogent security","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T01:40:34.754Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - Data Platform (Staff+)","description":"About CogentCogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent's \"AI Taskforce\" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world.We're backed by Greylock and we've built a team with the best minds in applied AI. Our team is comprised of people from:\r\nTop universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Waterloo\r\nUnicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase\r\nWorld class cybersecurity experts from Wiz, Abnormal AI, Zscaler\r\nPreeminent research labs like Deepmind and SAIL\r\nAbout the RoleWe are looking for Founding and Staff-level Engineers to design and implement the foundational pillars of Cogent's data platform and integration pipeline in order to reliably ingest and normalize enterprise data sources across many corporate and IT systems and then to enable the transformation of that data into a knowledge base that can be leveraged by other GenAI systems.What You'll Do & AchieveBuild the new standard for ingesting and extracting enterprise data\r\nYour role will involve building data connectors, running data pipelines, and extracting insights and context from our customer's enterprise environments.\r\nYou should get excited about building robust and secure backend systems that handle large volumes of data, ETLs, as well as reimagining how enterprise security teams should extract, store and access data.Design highly performant data pipelines and indexing strategies that enable Applied AI use cases like semantic search and retrieval augmented generation\r\nWork with Applied AI teams to taxonomize, correlate and deduplicate data across various enterprise sources, and architect indexing, storage and query strategies for data in Cogent's data lake.Architect the modern data platform for Gen AI\r\nThe LLM stack and Gen AI landscape is changing everyday. You'll be front and center of making build vs buy decisions for various tools and services needed by the data platform, and integrating these decisions into our broader architecture and tech roadmap.\r\nImplement generalizable design patterns and system components that allow us to scale from 1 integration to thousands of integrationsWhat You'll Bring5+ years of professional experience as a hands-on engineer and technical leader leading multiple projects\r\nExperience building data pipelines for Information Retrieval Systems (such as knowledge graphs, search engines, or similar) for enterprise use cases\r\nExperience in ETL orchestration and workflow management tools (such as Temporal, Airflow) as well as building batch processing and streaming systems with tools like Apache Kafka/Flink\r\nExpert in database fundamentals, SQL, data reliability practices and distributed computing\r\nExperience working fluently with standard orchestration & deployment technologies like Kubernetes, Terraform, Docker, Databricks, etc in multiple cloudsFor California Based ApplicantsThe standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.","datePosted":"2026-08-07T01:40:34.754Z","dateModified":"2026-08-07T01:40:34.754Z","hiringOrganization":{"@type":"Organization","name":"Cogent Security","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c819791de9fbae59a9dfe6b3"},"url":"https://jobsearcher.com/jobs/c819791de9fbae59a9dfe6b3"}}