Summary

Posted: Dec 10, 2024

Weekly Hours: 40

Role Number:200582472

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Build, deploy and run production operations for a large scale, distributed Big Data and Machine Learning system for fraud prevention and detection in the following areas: Apple ID account creation, Apple ID Account security, iMessage spam, Apple App Store ratings and reviews integrity, Developer enrollment integrity. Build, deploy, support, and monitor new and existing software services, infrastructure platforms and application stacks using Amazon Cloud infrastructure (AWS), Kubernetes, Kafka, Cassandra, Hadoop, Scala, Python, Java and PostgresDB. Migrate and deploy above fraud-fighting applications consisting of offline batch jobs, offline streaming jobs and real-time services from on-premises in-house PIE and Kube infrastructure to AWS cloud. Provision, configure and manage infrastructure services for data ingestion, data management and data processing that are used in building, training and running machine learning services for fraud-fighting. These services include Kafka for managing incoming event queues, Cassandra and postgresDB for data storage and Java/Scala compute infrastructure for data processing. Build self-service tools to automate infrastructure provisioning including compute capacity, data storage, network load balancers, message queues and caching systems to help machine learning engineers and software engineers in the team develop new fraud-fighting solutions more speedily and react to fraud attacks immediately. Build automation scripts using Python and Linux shell scripts to continuously monitor health of production infrastructure consisting of various Scala, Python, Java jobs, Kafka message queue, Cassandra, Postgres and Hadoop database and alert support engineering through Hubble alerts and Pager Duty pages. Collaborate with partner teams such as Apple's CloudTech team, Apple Services Infrastructure team and IS&T teams to understand and provision infrastructure for developing new fraud-fighting jobs and solutions. Troubleshoot and triage production incidents across Kafka, Cassandra, Hadoop, Postgres and AWS environments using logging tools such as Hubble (Apple inhouse tool) and Splunk and work with infrastructure or software development teams for resolution. Maintain production runbooks and troubleshooting manuals in git source code repository for all production jobs across real-time, streaming and batch jobs. Provide on-call support periodically for all of Trust & Safety engineering organization, acting as the first point of contact for production incidents, triage and then forward the issue to development team if required. 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 $143,100 - $214,500/yr and your base pay will depend on your skills, qualifications, experience, and location. 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. Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.

• Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Data Processing, Electronic Engineering or related field and 2 years of experience in the job offered or related occupation.
• 2 years of experience in the following skills:
• Working on cloud computing platforms such as AWS or GCP to build, maintain and deploy Apple's software services that are used in fighting fraud
• Utilizing Kubernetes to deploy, manage and scale Apple's compute infrastructure in fraud-fighting software
• Utilizing Git repos to build and manage all software that is deployed in production, build automation scripts, and maintain runbooks
• Configuring Jenkings CI/CD pipelines to build and deploy Trust and Safety Software services to prevent fraud activities for customers.
• Utilizing Databases experience in Relational or NoSQL to provision, configure and manage infrastructure services and build automation scripts to continuously monitor health of production infrastructure
• Troubleshooting and triaging production incidents using Splunk logging and retrieval and Linux Operating System
• Developing Shell automation scripts to reduce operational toils in in the infrastructure.
• Utilizing python to build tools in auto upgrading kubernetes clusters in order to comply with security policies

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• 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.