Software Development Engineer
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Description
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Oversee the compute pipeline, podcast, and music artist services to ensure reliable AMP metric ingestion and processing. Develop a comprehensive tool to aggregate information from diverse platforms. Implement an AI-driven tool to prioritize and resolve frequent on-call alerts and troubleshoot technical challenges. Develop and execute comprehensive disaster recovery strategies. Implement novel features for AMP metrics ingestion and the compute pipeline. Provide solutions and rectify vulnerabilities within services. Document and maintain service architecture modifications. Generate and manage SSL Certificates for services including Apple Music Artist Connect, Podcast Connect and the Metrics Ingestion Service. Ensure service-level SLAs for the data pipeline encompassing Kafka, Hadoop, Cassandra, and other infrastructure components. Develop and compose code and documentation to address intricate problems within large, sophisticated systems. Engage and enhance the lifecycle of services from their inception to deployment, operation, and migration. Establish priorities, maintain efficiency, measure and optimize system performance, and collaborate with geographically dispersed teams for high-level projects and migrations. Contribute to internal automation tools to streamline manual processes and improve production uptime. Migrate existing and new applications to new cloud infrastructure for enhanced stability. 40 hours/week. 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 $182,127 - $272,100/yr and your base pay will depend on your skills, qualifications, experience, and location.
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PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Preferred Qualifications
N/A
Minimum Qualifications
Bachelor's degree or foreign equivalent in Electronic Engineering, Computer Science or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
3 years of experience with each of the following skills is required:
Using Hadoop ecosystem tools (e.g., HDFS, YARN, MapReduce) to manage and troubleshoot distributed data processing.
Using Python scripting and automation experience, with tools and integrations for operations support.
Utilizing Apache Spark for real-time and batch data processing, performance optimization, and job management.
Using Apache Kafka for distributed messaging systems, stream processing, and monitoring clusters.
Advanced knowledge of Linux-based systems administration, including performance optimization and debugging.
Using Unix shell scripting for automation and system operations.
Using tools including Jenkins, GitLab CI, or Argo CD to set up and maintain CI/CD pipelines.
2 years of experience with each of the following skills is required:
Using Kubernetes, Helm, operators, and RBAC to deploy, scale, and manage containerized applications.
Using Apache Flink for stateful stream processing, job deployment, and checkpointing.
Configuring Nginx as a reverse proxy, load balancer, and web server for high-availability systems.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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