{"title": "Site Reliability Engineer, Data Analytics", "summary": "At Apple, our Data Analytics team focuses on improving the user experience by improving operating system stability, gathering feature usage telemetry, and evaluating device performance. This requires capturing data from customers who have given consent, utilizes strong privacy preserving techniques, and entails aggregating information, all to help inform direction. We develop and operate a variety of Big Data infrastructure products and applications in support of these goals.", "description": "We are looking for a Site Reliability Engineer to be a member of our team. If working on large scale problems excites you, then we\u2019re excited to talk to you! Our team helps Apple engineers answer mission critical questions about their hardware, firmware, and software. We work with engineers across Apple to help keep our suite of analytics applications available and to ensure the integrity of their data. The successful candidate will write code to automate our processes to ensure reliability and manage thousands of compute and storage instances across large heterogeneous infrastructure. You'll dive into complex data and application issues to drive root cause analysis of large scale problems. You'll partner with your teammates and peers to solve problems, applying critical thinking skills and understanding of complex distributed systems. The candidate will have to opportunity to contribute to the development of Apple's applications such as Mail and Safari, in addition to helping improve the performance of macOS and iOS. - Build, monitor, troubleshoot complex data infrastructure at the petabyte scale - Support the continuous development and deployment of multi service analytics applications - Develop tools and processes to automate the management of our systems and data", "key_qualifications": "Experience with at least one of the following languages and related development tools: (Python, Ruby, Java, Scala) Experience with Linux systems administration Passion for quality and attention to detail Excellent written and verbal communication skills", "preferred_qualifications": "Demonstrable experience of production experience managing and supporting large scale distributed Big Data applications (from development to production) Experience with one or more of the following platforms: HDFS, Yarn, Spark, Impala, Hbase, MapReduce, Kubernetes, other cloud services", "education_experience": "", "additional_requirements": "", "pay_benefits": "At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,600 and $236,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple\u2019s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple\u2019s Employee Stock Purchase Plan. You\u2019ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses \u2014 including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.", "company": "apple"}