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Apple DevOps Engineer Big Data Platform Applied Machine Learning United States, California, Sunnyvale 107393800
13.06.2024
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.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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