Sr AI, Search & Knowledge Platform Software Development Engineer

In 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.

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.

Our ideal candidate must have demonstrated expertise in developing distributed systems, building data storage solutions, designing scalable data integrations and supporting user facing features.

As a team member on this team, you are expected to be comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs., Software development skills, with proficiency in Java, Python, SQL is a must. Experience with Scala or Go would be a bonus.

Experience with delivering user experiences in the form of WebServices built using Java and Spring Boot.

Experience with developing and deploying on a Kubernetes based infrastructure is required.

Experience and passion for Data Engineering and Search

Experience with BigData ecosystem Spark, Flink or equivalent

Experience with Solr, Lucene and/or OpenSearch

Experience 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

A passion for making simple, robust, and scalable platforms used by other engineering teams

Preferred Qualifications

Experience with delivering Analytics backend services is a huge plus where exposure to query engines like Trino or equivalent is desired.

Experience with cloud platforms like AWS or GCP

Experience with ML Engineering workflows

Experience with app containerization, tuning, optimization, deployment, and performance of workloads running in a cloud environment (Kubernetes, Docker, Helm)

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.

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. Do 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 ? The 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.