{"schemaVersion":"jobsearcher.job.v1","id":"680537a35def3d9f6d5a4dd0","url":"https://jobsearcher.com/jobs/680537a35def3d9f6d5a4dd0","canonicalUrl":"https://jobsearcher.com/jobs/680537a35def3d9f6d5a4dd0","title":"Software Engineer - Data Infrastructure","description":"About Fable Security\r\nAI-driven threats and human error are today's biggest enterprise security risks. Cybercriminals don't hack systems—they exploit people. Human errors drive 70% of security breaches, making human behavior the primary and growing attack surface. At Fable, we believe that the right tools can convert people from targets to another layer of defense.\r\nFable is the human risk platform that directly shapes employee behavior. Designed for simplicity and enterprise scale, our agentic platform synthesizes complex employee data, pinpoints risky behaviours, and deploys highly relevant interventions to people automatically, in real time, right where they work.\r\nBacked by Redpoint Ventures and Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity's biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security.\r\nWhy Join Us\r\nBuild and scale the foundational data infrastructure powering a category-defining product\r\nWork closely with engineering, data science, and product teams to operationalize data at scale\r\nJoin a small, high-caliber team where you'll have outsized ownership and impact\r\nAt an early-stage company, every engineer directly shapes how the product works and evolves. You'll help define not just the system—but the way the company thinks about data.\r\nYour Role\r\nAs a Data Infrastructure Engineer, you will own the architecture, scalability, and reliability of our data platform .\r\nYou'll design and build the systems that power everything from real-time product features to internal analytics and machine learning workflows —from raw ingestion to production-ready datasets. You'll develop the architecture and establish best practices on which our data-driven products are built.\r\nThis is a highly cross-functional role where you'll partner closely with engineering, data, and product teams to ensure our data foundation scales with the company.\r\nResponsibilities\r\nDesign, build, and maintain scalable data pipelines and infrastructure\r\nDevelop batch and streaming systems for ingesting and processing large-scale data\r\nOwn core components of the data platform (warehouse, lake, orchestration, tooling)\r\nImplement data modeling, transformation, and versioning frameworks\r\nEnsure data quality, observability, and reliability across pipelines\r\nOptimize systems for performance, cost, and scalability\r\nBuild tooling to support reproducible datasets and experimentation\r\nPartner with data scientists and engineers to productionise ML and analytics workflows\r\nContribute to secure and compliant data infrastructure in cloud environments\r\nYour Skillset: Must-Have\r\n3–7+ years of experience in data infrastructure, infrastructure, or platform engineering\r\nStrong understanding of real-time and batch data processing systems, including stream processing, messaging architectures, and large-scale data workflows (Spark, Kafka, etc.)\r\nExperience with modern data tooling (dbt, Airflow, etc.)\r\nStrong understanding of data modeling, ETL/ELT, reverse ETL, and orchestration\r\nExperience designing for scalability, reliability, and observability\r\nHands-on experience with cloud platforms (AWS/GCP) and storage systems\r\nAbility to operate in a fast-moving startup environment with high ownership\r\nNice-to-Have\r\nFamiliarity with ML infrastructure or feature stores\r\nExperience with data versioning, lineage, or reproducibility systems\r\nBackground in security, compliance, or high-sensitivity data domains\r\nPrevious experience at an early-stage startup\r\nHow We Work\r\nWe value impact over process —you'll ship quickly and iterate\r\nEngineers have high ownership and autonomy\r\nWe operate with tight feedback loops across product and engineering\r\nWe prioritize technical rigor, simplicity, and long-term scalability\r\nCompensation & Benefits\r\nCompetitive salary + equity\r\nHealth, dental, vision coverage\r\nFlexible PTO\r\nOpportunity to join at an early stage and shape the company's foundation\r\nWhy This Role Matters\r\nData is core to the product. You'll be responsible for building the systems that enable:\r\nReal-time decision-making\r\nScalable analytics and experimentation\r\nReliable, production-grade data for customers and internal teams\r\nYour work will directly impact how the company builds, ships, and scales.\r\nThe estimated salary range for this position is estimated to be $160K - $225K / year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors.\r\nFable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.\r\nJ-18808-Ljbffr","company":"Fable Security","rawCompany":"fable security","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-11T05:07:59.225Z","occupations":[{"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"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - Data Infrastructure","description":"About Fable Security\r\nAI-driven threats and human error are today's biggest enterprise security risks. Cybercriminals don't hack systems—they exploit people. Human errors drive 70% of security breaches, making human behavior the primary and growing attack surface. At Fable, we believe that the right tools can convert people from targets to another layer of defense.\r\nFable is the human risk platform that directly shapes employee behavior. Designed for simplicity and enterprise scale, our agentic platform synthesizes complex employee data, pinpoints risky behaviours, and deploys highly relevant interventions to people automatically, in real time, right where they work.\r\nBacked by Redpoint Ventures and Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity's biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security.\r\nWhy Join Us\r\nBuild and scale the foundational data infrastructure powering a category-defining product\r\nWork closely with engineering, data science, and product teams to operationalize data at scale\r\nJoin a small, high-caliber team where you'll have outsized ownership and impact\r\nAt an early-stage company, every engineer directly shapes how the product works and evolves. You'll help define not just the system—but the way the company thinks about data.\r\nYour Role\r\nAs a Data Infrastructure Engineer, you will own the architecture, scalability, and reliability of our data platform .\r\nYou'll design and build the systems that power everything from real-time product features to internal analytics and machine learning workflows —from raw ingestion to production-ready datasets. You'll develop the architecture and establish best practices on which our data-driven products are built.\r\nThis is a highly cross-functional role where you'll partner closely with engineering, data, and product teams to ensure our data foundation scales with the company.\r\nResponsibilities\r\nDesign, build, and maintain scalable data pipelines and infrastructure\r\nDevelop batch and streaming systems for ingesting and processing large-scale data\r\nOwn core components of the data platform (warehouse, lake, orchestration, tooling)\r\nImplement data modeling, transformation, and versioning frameworks\r\nEnsure data quality, observability, and reliability across pipelines\r\nOptimize systems for performance, cost, and scalability\r\nBuild tooling to support reproducible datasets and experimentation\r\nPartner with data scientists and engineers to productionise ML and analytics workflows\r\nContribute to secure and compliant data infrastructure in cloud environments\r\nYour Skillset: Must-Have\r\n3–7+ years of experience in data infrastructure, infrastructure, or platform engineering\r\nStrong understanding of real-time and batch data processing systems, including stream processing, messaging architectures, and large-scale data workflows (Spark, Kafka, etc.)\r\nExperience with modern data tooling (dbt, Airflow, etc.)\r\nStrong understanding of data modeling, ETL/ELT, reverse ETL, and orchestration\r\nExperience designing for scalability, reliability, and observability\r\nHands-on experience with cloud platforms (AWS/GCP) and storage systems\r\nAbility to operate in a fast-moving startup environment with high ownership\r\nNice-to-Have\r\nFamiliarity with ML infrastructure or feature stores\r\nExperience with data versioning, lineage, or reproducibility systems\r\nBackground in security, compliance, or high-sensitivity data domains\r\nPrevious experience at an early-stage startup\r\nHow We Work\r\nWe value impact over process —you'll ship quickly and iterate\r\nEngineers have high ownership and autonomy\r\nWe operate with tight feedback loops across product and engineering\r\nWe prioritize technical rigor, simplicity, and long-term scalability\r\nCompensation & Benefits\r\nCompetitive salary + equity\r\nHealth, dental, vision coverage\r\nFlexible PTO\r\nOpportunity to join at an early stage and shape the company's foundation\r\nWhy This Role Matters\r\nData is core to the product. You'll be responsible for building the systems that enable:\r\nReal-time decision-making\r\nScalable analytics and experimentation\r\nReliable, production-grade data for customers and internal teams\r\nYour work will directly impact how the company builds, ships, and scales.\r\nThe estimated salary range for this position is estimated to be $160K - $225K / year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors.\r\nFable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.\r\nJ-18808-Ljbffr","datePosted":"2026-04-11T05:07:59.225Z","dateModified":"2026-04-11T05:07:59.225Z","hiringOrganization":{"@type":"Organization","name":"Fable Security","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"680537a35def3d9f6d5a4dd0"},"url":"https://jobsearcher.com/jobs/680537a35def3d9f6d5a4dd0"}}