Core 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 decisions.

That 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 Apple's 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 more.

The 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 tooling.

We 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.

Description

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 follows.

* Design, build, and operate the Go services at the heart of the platform, and shape the declarative interface engineers build against

* 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 consumer

* Define how services ship on the platform: the deployment contract, the environment promotion model, and the Kubernetes topology that platform services and partner teams inherit

* 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 grows

* 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 improvements

* 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 team

Minimum Qualifications

Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience

8+ years of software engineering experience, with significant time spent building platform, infrastructure, or developer-facing systems

Strong Go, with a track record of shipping and operating production backend services and command-line tools

Deep hands-on Kubernetes experience: Helm, per-environment configuration layering, probes, resource and replica strategy, rolling updates, and network policy

Demonstrated ownership of CI/CD pipelines and release engineering, including promotion between environments and automated rollback

Strong relational database fundamentals: schema design, indexing, transactions and isolation levels, and managed migrations in a service you operated

Solid distributed systems fundamentals, and hands-on concurrency in Go

Experience 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 standards

Demonstrated 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

Preferred Qualifications

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 enforced

Policy-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 language

Practical command of versioning and immutability in a real system: semantic versioning across independently released components, artifact promotion, dependency pinning, and reproducible builds

Experience building CLI or terminal-UI developer tools that a large engineering population depends on daily

OpenTelemetry instrumentation, and building dashboards and alerts that engineers trust

Working knowledge of mTLS-based workload identity, certificate rotation, and secret management systems

Hands-on depth in PostgreSQL or CockroachDB

Exposure to data governance, privacy engineering, or compliance-driven requirements on a platform, and comfort working with privacy and security partners

Experience 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