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Apple Inc.

Software Engineer - Production Engineering, AiDP, IS&T

Apple Inc., Sunnyvale, California, United States, 94087

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Sunnyvale, California, United States Corporate Functions Description

What can you expect? Work with the best and brightest software engineers! You will bring lots of energy, innovation, and excitement! Be ready to learn and explore cutting edge technologies in distributed computing and big data environments. Your have an automate anything approach to document 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. Help mentor and coach junior members of the team in process and engineering design. 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. Minimum Qualifications

BS in Computer Science with 10+ years related experience. Development and operational excellence through proper automation and engineering processes using programming languages such as Go, Python, Java, or other JVM languages Solid experience and knowledge in any one of Big Data Technologies such as Hadoop, Spark, Kafka, Apache Hbase, Presto, etc. Preferred Qualifications

MS Computer Science with 5 years Industry experience 10+ years of experience in designing and managing large scale production grade deployments both in on-prem and in cloud (AWS or GCP). Experience with containers and container orchestration platforms such as Docker, Kubernetes or equivalent. Strong proficiency with Helm and Kustomize for managing Kubernetes applications and configurations through GitOps practices Experience with configuration management or Infrastructure as Code (IaC) tools such as Ansible, Terraform, and Crossplane is desired. Proficient in working with Linux or other POSIX operating systems, shell scripting, and networking technologies. 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 emerging technologies Familiarity with logging and observability technologies such as Splunk and Prometheus or similar Validated software engineering experience and field in design, testing, source code management, and CI/CD practices Strong knowledge and experience in managing & monitoring cloud based services using various probes in k8s, Splunk, Prometheus, Grafana and Mosaic Experience in at least one of the publically available Embedding models, Large Language Models with expertise in pre-training, fine tuning data insights for accuracy and re-call Experience in handling ETL pipelines, designing measurable SLAs for ETLs and handling of upstream and down stream data processing in near realtime Experience in Open Source software development and CI/CD is desirable Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues in distributed databases. 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 $181,100 and $318,400, 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. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .

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