{"schemaVersion":"jobsearcher.job.v1","id":"fb7775f1e7962b9cdaf57166","url":"https://jobsearcher.com/jobs/fb7775f1e7962b9cdaf57166","canonicalUrl":"https://jobsearcher.com/jobs/fb7775f1e7962b9cdaf57166","title":"DevOps Engineer","description":"AI/ML DI Privacy Infrastructure Engineer Job Description\nSummary\nThe Data Infrastructure group within the AI/ML organization powers the analytics, experimentation and ML feature engineering that powers the Machine Learning technologies we all love in our devices. Our mission is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data while keeping users’ data private and secure.\nThe Data Security and Privacy team sits within the AI/ML Data Infrastructure group and is looking for engineers who want to bring their passion for security and privacy to help build world class data infrastructure that puts’s users’ privacy first while enabling data engineers and scientists to produce world-beating ML data products.\nKey Qualifications\n3+ years of experience scaling and operating distributed systems like big data processing engines (e.g., Apache Hadoop, Apache Spark), distributed file systems (e.g. HDFS, CEPH, S3, etc.), streaming systems (e.g., Apache Flink, Apache Kafka), resource management systems (e.g., Apache Mesos, Kubernetes), or Identity and Access Management (e.g. Apache Ranger, Sentry, OPA)\n3+ years experience with infrastructure as code and systems automation\nFluency in Java or a similar language\nAbility to debug complex issues in large scale distributed systems\nPassion for building infrastructure that is reliable, easy to use and easy to maintain\nExcellent communication and collaboration skills\nExperience with Spark and ETL processing pipelines is helpful, but not required\nExperience with systems security, identity protocols and encryption is helpful, but not required\nDescription\nThe ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.\nResponsibilities include:\nScale and operationalize privacy and security systems in a big data environment leveraging technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment through automation and infrastructure-as-code\nEnsure data infrastructure offers reliable high-quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt\nWrite code, documentation, participate in code reviews and design sessions\nJob Type: Full-time\nPay: $145,000.00 - $155,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nEmployee discount\nFlexible schedule\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nParental leave\nProfessional development assistance\nReferral program\nRelocation assistance\nRetirement plan\nTuition reimbursement\nVision insurance\nSchedule:\n8 hour shift\nAbility to commute/relocate:\nCupertino, CA 95014: Reliably commute or planning to relocate before starting work (Required)\nEducation:\nBachelor's (Preferred)\nExperience:\nDevOps: 5 years (Preferred)\nBig data: 3 years (Preferred)\nHadoop: 3 years (Preferred)\nAWS: 3 years (Preferred)\nSpark: 3 years (Preferred)\nETL: 5 years (Preferred)\nJava: 5 years (Preferred)\nWork Location: In person","company":"Digitaldharall","rawCompany":"digitaldharall","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T10:53:18.010Z","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":"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":"DevOps Engineer","description":"AI/ML DI Privacy Infrastructure Engineer Job Description\nSummary\nThe Data Infrastructure group within the AI/ML organization powers the analytics, experimentation and ML feature engineering that powers the Machine Learning technologies we all love in our devices. Our mission is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data while keeping users’ data private and secure.\nThe Data Security and Privacy team sits within the AI/ML Data Infrastructure group and is looking for engineers who want to bring their passion for security and privacy to help build world class data infrastructure that puts’s users’ privacy first while enabling data engineers and scientists to produce world-beating ML data products.\nKey Qualifications\n3+ years of experience scaling and operating distributed systems like big data processing engines (e.g., Apache Hadoop, Apache Spark), distributed file systems (e.g. HDFS, CEPH, S3, etc.), streaming systems (e.g., Apache Flink, Apache Kafka), resource management systems (e.g., Apache Mesos, Kubernetes), or Identity and Access Management (e.g. Apache Ranger, Sentry, OPA)\n3+ years experience with infrastructure as code and systems automation\nFluency in Java or a similar language\nAbility to debug complex issues in large scale distributed systems\nPassion for building infrastructure that is reliable, easy to use and easy to maintain\nExcellent communication and collaboration skills\nExperience with Spark and ETL processing pipelines is helpful, but not required\nExperience with systems security, identity protocols and encryption is helpful, but not required\nDescription\nThe ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.\nResponsibilities include:\nScale and operationalize privacy and security systems in a big data environment leveraging technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment through automation and infrastructure-as-code\nEnsure data infrastructure offers reliable high-quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt\nWrite code, documentation, participate in code reviews and design sessions\nJob Type: Full-time\nPay: $145,000.00 - $155,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nDental insurance\nEmployee assistance program\nEmployee discount\nFlexible schedule\nFlexible spending account\nHealth insurance\nHealth savings account\nLife insurance\nPaid time off\nParental leave\nProfessional development assistance\nReferral program\nRelocation assistance\nRetirement plan\nTuition reimbursement\nVision insurance\nSchedule:\n8 hour shift\nAbility to commute/relocate:\nCupertino, CA 95014: Reliably commute or planning to relocate before starting work (Required)\nEducation:\nBachelor's (Preferred)\nExperience:\nDevOps: 5 years (Preferred)\nBig data: 3 years (Preferred)\nHadoop: 3 years (Preferred)\nAWS: 3 years (Preferred)\nSpark: 3 years (Preferred)\nETL: 5 years (Preferred)\nJava: 5 years (Preferred)\nWork Location: In person","datePosted":"2026-08-05T10:53:18.010Z","dateModified":"2026-08-05T10:53:18.010Z","hiringOrganization":{"@type":"Organization","name":"Digitaldharall","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cupertino","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fb7775f1e7962b9cdaf57166"},"url":"https://jobsearcher.com/jobs/fb7775f1e7962b9cdaf57166"}}