Apple Inc.
Senior Software Engineer, Data Science & Analytics Platform Engineering
Apple Inc., Austin, Texas, us, 78716
Senior Software Engineer, Data Science & Analytics Platform Engineering
Austin, Texas, United States Software and Services Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science & Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most – our customers' privacy and trust. Description
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem. Responsibilities
As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 2+ years of experience in technical leadership roles focused on platform engineering or infrastructure Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) Practical experience with asynchronous programming, type safety, threading models, state machines and data structures Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake Experience with managed cloud platforms such as AWS, GCP, Azure Excellent communication skills to collaborate with non-technical audience Preferred Qualifications
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) Track record designing client-agnostic APIs using REST and/or GraphQL Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc) Apple 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 .
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Austin, Texas, United States Software and Services Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science & Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most – our customers' privacy and trust. Description
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem. Responsibilities
As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 2+ years of experience in technical leadership roles focused on platform engineering or infrastructure Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) Practical experience with asynchronous programming, type safety, threading models, state machines and data structures Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake Experience with managed cloud platforms such as AWS, GCP, Azure Excellent communication skills to collaborate with non-technical audience Preferred Qualifications
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) Track record designing client-agnostic APIs using REST and/or GraphQL Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc) Apple 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 .
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