Senior Backend Software Engineer, Platform Engineering, Services Data Science & Analytics

Apple Inc

Austin, TX

JOB DETAILS
SKILLS
Analysis Skills, Apache, Apple, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Building Systems, Caching, Computer Science, Computer Services, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Customer Support/Service, Data Analysis, Data Science, Distributed Computing, GraphQL, Legal, Machine Learning, Marketing, Mentoring, Metadata, Node.js, PostgreSQL, Process Improvement, Product Design, Python Programming/Scripting Language, REST (Representational State Transfer), Redis, Regulations, Risk Analysis, Service Level Agreement (SLA), Snowflake Schema, Software Engineering, Streaming Technology, System Integration (SI), Systems Reliability, Technical/Engineering Design, eCommerce
LOCATION
Austin, TX
POSTED
30+ days ago

Are you ready to make a significant impact on how one of the world's largest analytics organizations moves, serves, and governs its data? If you are passionate about building high-performance, reliable platform services at internet scale, 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 design, build, and operate the backend services that form the foundation of DS&A's data platform.

This is high-stakes infrastructure work: every downstream consumer in DS&A and Services broadly depends on what you build. A great fit for this role is someone who thinks deeply about distributed systems, obsesses over reliability and performance, and takes pride in building platform primitives that other engineers love to build on.

You will own core platform services end-to-end - from API design and query routing through caching infrastructure and data lineage - ensuring they perform reliably at the scale and latency demands of one of the world's largest analytics organizations.

You'll collaborate closely with Data Engineering, Data Science, Machine Learning Engineering, Insight Engineering, and Core Engineering teams, making architectural decisions that directly shape the scalability and durability of DS&A's analytical foundation.

Over time, you'll influence platform strategy, mentor engineers across the team, and help drive the technical roadmap for how DS&A manages, governs, and serves its data at scale.8+ years of experience building and operating high-performance, production-grade backend API services Expert proficiency in Python or Node.js/TypeScript - including async programming, type safety, and framework-level development (FastAPI, Express, or equivalent) Demonstrated experience designing and operating distributed systems with strict reliability and latency SLAs Strong proficiency with API design and service-to-service communication patterns (REST, gRPC, GraphQL, or equivalent) Hands-on experience with multi-layer caching architectures (in-process, Redis, or similar) and cache invalidation strategies Extensive experience building systems that integrate with distributed and high-performance data stores - Snowflake, Trino, Spark, PostgreSQL, or equivalent Proficiency with Kubernetes, deployment, HPA, StatefulSets, namespace management Strong observability practice, Prometheus, Grafana, OpenTelemetry, or equivalent BS in Computer Science, Engineering, or related field, or equivalent professional experienceExperience building data catalog, metadata, or lineage systems Familiarity with Apache Iceberg or other open table formats Experience with CI/CD pipeline design and enforcement gates in large engineering organizations Familiarity with AI/ML infrastructure or experience integrating LLM-powered capabilities into platform services MS in Computer Science, Engineering, or related field

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs