NoSQL Engineer / SRE

Imagine what you could do here. At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple dont just create products - they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! We are looking for a passionate NoSQL / Search Engineer to help manage the large scale data store environments. This team is responsible for providing new architectures and scalability solutions to ever growing business and data processing needs. Individual can go to the depths to solve complex problems and have the curiosity to explore and learn new technologies for innovative solutions. Design, implement and maintain NoSQL database systems / search engines. Develop and optimize search algorithms to ensure high performance and accuracy. Analyze and understand data requirements to design appropriate data models. Monitor and troubleshoot database performance issues, ensuring system stability and efficiency. Implement data indexing and ensure efficient data retrieval processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Stay updated with the latest advancements in NoSQL and search technologies, and apply them to improve existing systems. Create and maintain documentation related to database configurations, schemas, and processes Will work with global teams in US. Deliver solutions that can keep up with a rapidly evolving product in a timely fashion Minimum Qualifications 4+ years or experience as a NoSQL / Search Engineer or in a similar role. Strong understanding and hands-on experience with NoSQL databases such as Cassandra, Couchbase, or similar. Expertise in search technologies such as Elasticsearch, Solr, or similar. Proficiency in programming languages such as Java, Python Familiarity with data modeling, indexing, and query optimization techniques. Experience with large-scale data processing and distributed systems. Strong problem-solving skills and attention to detail. Good in depth understanding of the Linux in term of debugging tools and performance tuning Preferred Qualifications Experience with cloud platforms such as AWS, Google Cloud, or Azure is a plus Knowledge of machine learning techniques and their application in search is an added bonus to have JVM Tuning tools, OS Performance and Debugging Open source contributions will be a huge plus Submit CV,