Imagine what you could do here. At Apple, great 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.\\n\\nDo you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? Do you want to shape the next generation of ML developer experience ? \\n\\nThe AI, Search & Knowledge Lifecycle team is building groundbreaking technology for next generation of ml model development that will alter how apple consumers interact with their devices and information on a daily basis. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to conduct their daily life. Our platform has been used to create models that power you daily interactions like FaceId, Photos Recommendation and Memories and many more.
We are looking for a motivated backend software engineer with in-depth knowledge of restful data intensive application development. You will be working on designing and developing innovative features using micro services architecture for our organization's internal applications and platforms. \n\nOur ideal candidate must have demonstrated expertise in developing distributed systems, building data storage solutions, designing scalable data integrations and supporting user facing features.\n\nAs a team member on this team, you are expected to be comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.\n\nIn this role, you will work closely with project managers, UI/UX designers, and other stakeholders to define requirements, estimate efforts accordingly, and ultimately deliver high quality work on-time.
Software development skills, with proficiency in Java, Python, SQL is a must. Experience with Scala or Go would be a bonus.\nExperience with delivering user experiences in the form of WebServices built using Java and Spring Boot.\nExperience with developing and deploying on a Kubernetes based infrastructure is required.\nExperience and passion for Data Engineering and Search\nExperience with BigData ecosystem Spark, Flink or equivalent\nExperience with Solr, Lucene and/or OpenSearch\nExperience with event-based messaging systems (Kafka) and workflow orchestration platforms (Airflow) An intuition for collecting user requirements and translating them into features that deliver clear user value\nA passion for making simple, robust, and scalable platforms used by other engineering teams
Experience with delivering Analytics backend services is a huge plus where exposure to query engines like Trino or equivalent is desired.\nExperience with cloud platforms like AWS or Google Cloud Platform\nExperience with ML Engineering workflows\nExperience with app containerization, tuning, optimization, deployment, and performance of workloads running in a cloud environment (Kubernetes, Docker, Helm)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 6c8f96ee421396da37893e8377a8fab2
- Posted 2 hours ago
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