Senior Platform Software Engineer

People at Apple dont just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple and help us leave the world better than we found Data and Intelligence (CDI) is the central data AI and machine learning engineering team in ASE Media. We own the primitives other teams build on: privacy-compliant data collection canonical datasets AI and machine learning building blocks and the visualizations that turn them into work shows up across Apple. It is a signal for Music recommendations a report on the engagement of a new TV feature and the Average Revenue Per User we share with developers. We partner with client and server teams to source data and to ensure collection meets Apples high privacy standards. CDI also leads privacy engineering within ASE. Apple Services Engineering powers App Store Apple TV Apple Music Apple Podcasts Apple Books Fitness the iTunes Store and Data Engineering Platform (DEP) is how CDI does that work at scale. DEP builds an opinionated data engineering ecosystem that accelerates data and machine learning engineers. It includes spec-driven development data quality AI-driven workflows cloud portability CI/CD integrated privacy and compliance and scaled operational are looking for a Senior Platform Software Engineer to own the foundations of DEP. You will work across the full depth of the platform from the command an engineer types to the infrastructure that comes up in production. You will take direct ownership of production systems and set the versioning and release standards the rest of the platform inherits.n

As a Senior Platform Software Engineer on DEP you will own platform systems end to end - the API the service the schema the configuration the pipeline and the telemetry. You will combine hands-on engineering with platform-wide thinking and help set the technical direction the platform * Design build and operate the Go services at the heart of the platform and shape the declarative interface engineers build againstn* Own versioning and immutability as a first-class platform concern - immutable artifact publication signing semantic versioning across independently released components and dependency pinning that holds from producer to consumern* Define how services ship on the platform: the deployment contract the environment promotion model and the Kubernetes topology that platform services and partner teams inheritn* Drive operational excellence for a foundational P1 service: service level objectives alerting that engineers trust release provenance and the availability and rollback posture of services as adoption growsn* Own the developer experience - the command-line tool engineers use daily project scaffolding APIs and documentation. Run onboarding gather feedback from data engineering teams and turn recurring questions into product improvementsn* Set technical direction: define the engineering standards adopted across CDI an organization of roughly 550 engineers evaluate emerging technology mentor engineers and help scale AI-assisted development practices across the teamnn

Bachelors or Masters Degree in Computer Science Engineering or equivalent professional experiencen8 years of software engineering experience with significant time spent building platform infrastructure or developer-facing systemsnStrong Go with a track record of shipping and operating production backend services and command-line toolsnDeep hands-on Kubernetes experience: Helm per-environment configuration layering probes resource and replica strategy rolling updates and network policynDemonstrated ownership of CI/CD pipelines and release engineering including promotion between environments and automated rollbacknStrong relational database fundamentals: schema design indexing transactions and isolation levels and managed migrations in a service you operatednSolid distributed systems fundamentals and hands-on concurrency in GonExperience owning services in production not only building them: on-call incident response telemetry and post-incident follow-through including taking on an established production system building deep understanding of it quickly and raising its operational and documentation standardsnDemonstrated ability to author reusable skills or agents for AI-assisted development tools such as Claude Code or Copilot adopted by other engineers and interest in scaling these practices across a team

Experience with Terraform or OpenTofu beyond consumption - writing providers managing state backends or operating a registry including the HashiCorp provider or module registry protocols or any artifact registry where immutability and signing are enforcednPolicy-as-code and configuration-as-code experience: Open Policy Agent and Rego applied to infrastructure change gating and PKL CUE Jsonnet or a comparable typed configuration languagenPractical command of versioning and immutability in a real system: semantic versioning across independently released components artifact promotion dependency pinning and reproducible buildsnExperience building CLI or terminal-UI developer tools that a large engineering population depends on dailynOpenTelemetry instrumentation and building dashboards and alerts that engineers trustnWorking knowledge of mTLS-based workload identity certificate rotation and secret management systemsnHands-on depth in PostgreSQL or CockroachDBnExposure to data governance privacy engineering or compliance-driven requirements on a platform and comfort working with privacy and security partnersnExperience as a platform team serving other engineering teams: multi-tenancy blast radius shared ownership models and deprecation with strong written communication and a track record of developer engagement through onboarding documentation and office hours