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Senior Software Development Engineer
2 months ago
As a Senior Software Development Engineer on the Apple Data Platform team, you will play a key role in shaping the future of AI-driven data solutions. Our mission is to empower engineers and data scientists with innovative, reliable, secure, and user-friendly platforms for ingesting, storing, processing, and interacting with data. You will be instrumental in accelerating the adoption of the Apple Data Platform by developing cutting-edge data solutions, including advanced data insights, unified search powered by knowledge bases, and seamless integration of the latest AI technologies.
About the Role
We are seeking a highly skilled and experienced software development engineer to join our team. As a key member of our team, you will be responsible for defining and driving technical vision, roadmap, and strategy for the Apple Data Platform. You will guide the design and development of new data solutions that accelerate the use of Data & AI across Apple. You will participate in product design reviews to ensure efficient and secure use of data in Apple.
Responsibilities
- Define and drive technical vision, roadmap, and strategy for Apple Data platform, with a focus on integrating AI-driven solutions and advanced data technologies.
- Guide the design and development of new data solutions that accelerate the use of Data & AI across Apple.
- Participate in product design reviews to ensure efficient and secure use of data in Apple.
- Collaborate with stakeholders and cross-functional leaders in engineering, product, and operations across Apple to ensure the correct adoption of Apple Data Platform.
- Lead and mentor new hires and fellow engineers.
- Provide guidance and establish processes to ensure engineering excellence, efficiency, and operational sustainability of our platform.
- Foster a healthy, inclusive, collaborative, and technology-driven culture.
Requirements
- 8+ years of software development experience.
- 3+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalability.
- In-depth understanding of large language models (LLMs) and their application in AI-driven solutions, including inferencing, embedding, and knowledge base integration (RAG) for improved data retrieval and contextualization.
- Proven ability to manage and optimize Big Data & AI platforms and infrastructure, with a focus on enhancing adoption through innovative value-add solutions.
- Experience with large-scale data processing and storage frameworks such as Apache Spark, Apache Flink, Apache Iceberg, and other similar frameworks.
- Experience with programming languages like Python, Java, and Scala particularly in the context of data processing and AI integration.
- Strong organizational skills, capable of working effectively with large cross-functional teams to drive key product innovations.
- Demonstrated ability to influence and drive product development across diverse teams, with a passion for operational excellence and automation.
- Superb problem-solving skills and the ability to thrive in a fast-paced and dynamic environment.
- B.S, M.S. or PhD Degree in Computer Science/Engineering, or equivalent work experience.
Preferred Qualifications
- Understanding of AI agents orchestration for the seamless integration of AI models, enabling automation and enhancing workflow efficiencies across diverse business use cases.
- Understanding and experience with Large Language model training and fine-tuning.
- Expertise in AWS Cloud.
- Hands-on experience in using Kubernetes as an orchestration layer.
- Working with streaming data processing frameworks such as Apache Flink, Kafka Streams, Spark Streaming.
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.
