SummaryPosted: Nov 5, 2024Weekly Hours: 40 Role Number:200571648At Apple, we're building the future of advertising, crafting innovative platforms that empower creators and delivers outstanding user experiences. Our team is at the forefront of innovative technology, leveraging machine learning and distributed systems to deliver personalized and privacy-focused advertising solutions. DescriptionDescriptionAs a Senior Software Engineer on our team, you'll be instrumental in crafting the future of Apple's advertising platforms. You'll work on highly scalable, low-latency systems that power billions of ad impressions daily. You'll collaborate with world-class engineers to solve complex technical challenges and drive innovation. If you're passionate about building innovative products and shaping the future of advertising, we invite you to join our team! Responsibilities: - Provide Technical Leadership: Mentor and guide a team of engineers, fostering a culture of innovation and excellence. - System Design and Architecture: Design, develop, and optimize highly scalable, distributed systems. Leverage cloud-native technologies and microservices architecture to build robust and resilient solutions. - Data Engineering and ML: Build efficient data pipelines and apply machine learning techniques to enhance ad targeting and measurement. - Problem-Solving and Innovation: Tackle complex technical challenges, drive innovation, and stay up-to-date with emerging technologies. - Collaboration: Work closely with product managers, architects, and other engineers to deliver high-quality solutions. Minimum QualificationsMinimum Qualifications8+ years of software engineering experience, with a focus on distributed systems, cloud technologies, and microservices architectureStrong proficiency in Java, Scala, or C++Deep understanding of cloud platforms (AWS, GCP, Azure)Expertise in DevOps technologies (Docker, Kubernetes)Proficiency in database technologies (SQL, NoSQL)Bachelor's / Master’s degree in Computer Science or equivalentKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with big data technologies (Hadoop, Spark, Kafka)Knowledge of machine learning frameworksProven ability to lead and mentor engineering teamsStrong analytical and problem-solving skillsExcellent communication and collaboration skillsExperience in Ads domain is a plusEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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 $175,800 and $312,200, 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.
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.