What are the responsibilities and job description for the Senior Frontend Software Engineer, Platform Engineering, Services Data Science & Analytics position at Apple, Inc.?
Are you ready to make a significant impact on how one of the world's largest analytics organizations sees and interacts with its data? If you are passionate about building elegant, high-performance visualization platforms that transform complex data into clear, compelling experiences, we would love for you to apply! The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our culture is built on rapid iteration, open debate, and independent thinking - we take calculated risks and work as analytical advisors across product, design, engineering, marketing, editorial, legal, and business teams.
As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will help lead the architecture and development of DS&A's centralized visualization platform - defining how data is presented, experienced, and interacted with across the entire organization. You will bring engineering rigor and technical vision to the presentation layer of DS&A's data stack, building high-performance, reusable front-end capabilities that power consistent reporting experiences at scale. You'll define component architecture standards, own the design system integration, and build the reusable primitives that DS&A engineers and analysts rely on to deliver insights to Apple's most senior leadership. You'll partner closely with platform engineers, data engineers, design stakeholders, and analytics consumers across the org to translate complex data requirements into intuitive, scalable front-end capabilities. Over time, you'll influence how DS&A thinks about the intersection of data, design, and AI - as the platform evolves to incorporate intelligent, context-aware visualization driven by our emerging AI capabilities.
8 years of experience building and operating high-performance, production-grade backend API services\nExpert proficiency in Python or Node.js/TypeScript - including async programming, type safety, and framework-level development (FastAPI, Express, or equivalent)\nDemonstrated experience designing and operating distributed systems with strict reliability and latency SLAs\nStrong proficiency with API design and service-to-service communication patterns (REST, gRPC, GraphQL, or equivalent)\nHands-on experience with multi-layer caching architectures (in-process, Redis, or similar) and cache invalidation strategies\nExtensive experience building systems that integrate with distributed and high-performance data stores - Snowflake, Trino, Spark, PostgreSQL, or equivalent\nProficiency with Kubernetes, deployment, HPA, StatefulSets, namespace management\nStrong observability practice, Prometheus, Grafana, OpenTelemetry, or equivalent\nBS in Computer Science, Engineering, or related field, or equivalent professional experience
Experience building visualization or analytics platforms in a data-intensive enterprise environment\nFamiliarity with AI/ML concepts and experience integrating generative AI or LLM-powered features into front-end applications\nExperience with accessibility standards (WCAG) and building inclusive, enterprise-grade UI\nUnderstanding of data pipeline concepts and experience working closely with backend/data engineering teams\nMS in Computer Science, Engineering, or related field
As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will help lead the architecture and development of DS&A's centralized visualization platform - defining how data is presented, experienced, and interacted with across the entire organization. You will bring engineering rigor and technical vision to the presentation layer of DS&A's data stack, building high-performance, reusable front-end capabilities that power consistent reporting experiences at scale. You'll define component architecture standards, own the design system integration, and build the reusable primitives that DS&A engineers and analysts rely on to deliver insights to Apple's most senior leadership. You'll partner closely with platform engineers, data engineers, design stakeholders, and analytics consumers across the org to translate complex data requirements into intuitive, scalable front-end capabilities. Over time, you'll influence how DS&A thinks about the intersection of data, design, and AI - as the platform evolves to incorporate intelligent, context-aware visualization driven by our emerging AI capabilities.
8 years of experience building and operating high-performance, production-grade backend API services\nExpert proficiency in Python or Node.js/TypeScript - including async programming, type safety, and framework-level development (FastAPI, Express, or equivalent)\nDemonstrated experience designing and operating distributed systems with strict reliability and latency SLAs\nStrong proficiency with API design and service-to-service communication patterns (REST, gRPC, GraphQL, or equivalent)\nHands-on experience with multi-layer caching architectures (in-process, Redis, or similar) and cache invalidation strategies\nExtensive experience building systems that integrate with distributed and high-performance data stores - Snowflake, Trino, Spark, PostgreSQL, or equivalent\nProficiency with Kubernetes, deployment, HPA, StatefulSets, namespace management\nStrong observability practice, Prometheus, Grafana, OpenTelemetry, or equivalent\nBS in Computer Science, Engineering, or related field, or equivalent professional experience
Experience building visualization or analytics platforms in a data-intensive enterprise environment\nFamiliarity with AI/ML concepts and experience integrating generative AI or LLM-powered features into front-end applications\nExperience with accessibility standards (WCAG) and building inclusive, enterprise-grade UI\nUnderstanding of data pipeline concepts and experience working closely with backend/data engineering teams\nMS in Computer Science, Engineering, or related field