<p>People at Apple don't just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. Data powers Apple's software, services, and product development. Apple's Data Services Org provides a diverse range of data solutions, including SQL and NoSQL databases, search engines, and streaming platforms with GenAI capabilities. Apple's Data Services team supports building data platforms for several 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 insights u0026 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 big data 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 multiple cloud environments running on S3, Kafka, Flink, Spark, LLMs and AI/ML! You would work on developing/deploying large-scale big data analytics or streaming applications and services. 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. MS Computer Science with 5 years Industry experience</p> <p>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.</p> <p>Strong proficiency with Helm and Kustomize for managing Kubernetes applications and configurations through GitOps practices</p> <p>Experience with configuration management or Infrastructure as Code (IaC) tools such as Ansible, Terraform, and Crossplane is desired.</p> <p>Proficient in working with Linux or other POSIX operating systems, shell scripting, and networking technologies.</p> <p>Should be highly proactive with a keen focus on improving the uptime availability of our mission-critical services</p> <p>Excellent verbal and written communication skills, able to collaborate cross-functionally with program managers and engineering partners</p> <p>Comfortable working in a fast-paced environment while continuously evaluating emerging technologies</p> <p>Familiarity with logging and observability technologies such as Splunk and Prometheus or similar</p> <p>Validated software engineering experience and field in design, testing, source code management, and CI/CD practices</p> <p>Strong knowledge and experience in managing u0026 monitoring cloud based services using various probes in k8s, Splunk, Prometheus, Grafana and Mosaic</p> <p>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</p> <p>Experience in handling ETL pipelines, designing measurable SLAs for ETLs and handling of upstream and down stream data processing in near realtime</p> <p>Experience in Open Source software development and CI/CD is desirable</p> <p>Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues in distributed databases. Array</p>