DevOps Engineer

AI/ML DI Privacy Infrastructure Engineer Job Description Summary The 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. The 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. Key Qualifications 3+ 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) 3+ years experience with infrastructure as code and systems automation Fluency in Java or a similar language Ability to debug complex issues in large scale distributed systems Passion for building infrastructure that is reliable, easy to use and easy to maintain Excellent communication and collaboration skills Experience with Spark and ETL processing pipelines is helpful, but not required Experience with systems security, identity protocols and encryption is helpful, but not required Description The 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. Responsibilities include: Scale 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 Ensure data infrastructure offers reliable high-quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt Write code, documentation, participate in code reviews and design sessions Job Type: Full-time Pay: $145,000.00 - $155,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Employee assistance program Employee discount Flexible schedule Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Referral program Relocation assistance Retirement plan Tuition reimbursement Vision insurance Schedule: 8 hour shift Ability to commute/relocate: Cupertino, CA 95014: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: DevOps: 5 years (Preferred) Big data: 3 years (Preferred) Hadoop: 3 years (Preferred) AWS: 3 years (Preferred) Spark: 3 years (Preferred) ETL: 5 years (Preferred) Java: 5 years (Preferred) Work Location: In person