Summary
Posted: Jun 18, 2024
Role Number: ********
Apple's Applied Machine Learning team has built platforms for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers, and managers. We are looking for a talented and dedicated senior engineer to join our team to bring passion for infrastructure and distributed systems to build world-class data platforms/products at a very large scale across cloud environments.
Description
You like to automate anything which you do and you document it for the benefit of others. You are an independent problem-solver who is self-directed and capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner. Provide incident resolution for all technical production issues. Create and maintain accurate, up-to-date documentation reflecting configuration, and responsible for writing justifications, training users in complex topics, writing status reports, documenting procedures, and interacting with other Apple staff and management. Provide guidance to improve the stability, security, efficiency, and scalability of systems. Determine future needs for capacity and investigate new products and/or features. Strong troubleshooting ability will be used daily; will take steps on their own to isolate issues and resolve root causes through investigative analysis in environments where the candidate has little knowledge/experience/documentation. Administer and ensure the proper execution of the backup systems. Provide 24x7 on-call support to handle urgent critical issues. We are dedicated to the goal of building a culturally diverse and pluralistic team that reflects the multicultural variety of our customers.
Key Qualifications
Experience architecting, building, monitoring, and operating large-scale complex data processing systems in Java/Scala like Spark, Flink, and Kafka in public clouds like AWS and GCP.
In-depth knowledge and experience in one or more large-scale distributed technologies including but not limited to: Hadoop ecosystem, Beam, Kafka, Samza, Flink, Storm, Flume, HBase, Cassandra, Redshift, Vertica, and Spark.
Experience in big data storage platforms and query engines with knowledge of cutting-edge technologies like Trino, Hive, Iceberg, Delta Lake, and Hudi.
Experience with containers and container orchestration platforms such as Docker and Kubernetes.
Strong proficiency with Helm and Kustomize for managing Kubernetes applications and configurations.
Passionate about operational excellence through proper automation and engineering processes using programming languages Go, Python, Java, or other JVM languages
Proficient in working with Linux or other POSIX operating systems, shell scripting, and networking technologies.
Proficient in best practices and enforcement for data security and data governance
Should be highly proactive with a keen focus on improving the uptime availability of our mission-critical services
Excellent verbal and written communication skills, able to collaborate cross-functionally with program managers and engineering partners
Comfortable working in a fast-paced environment while continuously evaluating new technologies
Education & Experience
BS in computer science with 7-10 years or MS plus 5-7 years experience or related experience.
Additional Requirements
Experience using data storage technologies such as Apache Parquet or Avro Experience in machine learning algorithms is a plus.
Validated software engineering experience and field in design, testing, source code management, and CI/CD practices.
Position yourself as a go-to consultative resource and solution expert for Data Engineers and analysts.
Adaptable to prioritizing multiple issues in a high-pressure environment
Bonus: Experience with technologies Redis, Solr
Bonus: Design, implementation, and benchmarking of ML/deep learning algorithms
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 $170,700 and $300,200, 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's 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's Employee Stock Purchase Plan. You'll 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 - 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.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
