Software Engineer

Senior Software Engineer - Strategic Data SolutionsAre you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple's Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners. The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.DescriptionWith the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you're interested in being a part of a team that's constantly learning and problem-solving, we'd love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and Fraud prevention efforts of SDS. You will be:Developing and implementing production software for retail ML initiatives and preventing retail fraudResponsible for system architecture designWorking with external infrastructure teams to drive the development of infrastructure needsInnovating by recognizing opportunities for automation and tools improvementsResponsible for developing and implementing process improvements to bring efficiency and stability to fraud analyticsResponsible for technical leadership for a team of data scientistsResponsible for Release engineering and ML OperationsExpected to operate independent of supervision, with limited guidanceLeading the team to increase the level of maturity and skill in analytical software developmentMinimum QualificationsBS or advanced degree in Computer Science, related field or equivalent experienceMastery of one of Java, Python, or equivalent languageExperience with Big Data & building ETL Data PipelinesExperience with messaging systems, such as Kafka8+ years of experience in software engineering/data scienceExperience building data science or data analysis tools on AWS/GCP/Cloud based systemsPreferred QualificationsExperience with Docker, Kubernetes, or cloud platform deploymentExperience with Relational databases and NoSQL databasesDemonstrated understanding of the full software development lifecycleExcellent problem solving, critical thinking, and communication skillsSolid grasp of computer science fundamentals including data structures and algorithmsSolid ability to evaluate and apply new technologies in a short timeSelf-motivated, proactive, and solution-orientedApple 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.