Software Engineer (Quality), Retail and Marcom Engineering at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Node, Python, RESTful APIs, GraphQL APIs, Playwright, Jest, Selenium, XCUITest, CI Infrastructure Reliability, CI Runner Fleet Operation, GitHub Actions, Jenkins, Harness, LLM Feature Shipping, RAG, TypeScript

Industry

Computers and Electronics Manufacturing

Description

Marcom is the creatively-led global team that oversees Apple’s consumer facing marketing. We ensure the flawless development and execution of world-class communications across all medias and platforms. The Marcom Quality Engineering team is hiring a full-stack Software Engineer to help turn internal tooling into a Quality Platform—shared services, APIs, and evaluation pipelines that improve CI/CD signal quality for engineering, QE, and production teams. You’ll apply modern AI/ML to expand automated coverage, reduce infrastructure and test flakiness, and accelerate time-to-signal. This work supports high-visibility launches for millions of customers across 100+ languages. DESCRIPTION As a Software Engineer, you’ll prototype quickly, tie engineering to business outcomes, and balance rigor with AI-driven velocity. You’ll build and extend the quality platform—orchestration, retrieval, evaluation harnesses, and APIs—that scales quality across the portfolio. MINIMUM QUALIFICATIONS Requires Bachelor’s degree in Computer Science, a technical field or a minimum of 5 years of relevant work experience. Proficiency in Node or Python and ability to read/write the other. Experience with RESTful/GraphQL APIs and automated testing frameworks (e.g., Playwright, Jest, Selenium, XCUITest). Experience either improving reliability of shared CI/test infrastructure (e.g., lower infra flakiness, faster queue/start times) or operating a CI runner fleet (agents/executors; GitHub Actions, Jenkins, or Harness). Shipped one LLM-powered feature (e.g., RAG over internal docs/telemetry; triage agent; stability investigator; natural-language to automation; eval harnesses; CI gates for accuracy/latency). PREFERRED QUALIFICATIONS 8+ years as a Software Engineer and 5+ years in automation or platform tooling. Retrieval + RAG expertise (e.g., Pinecone, Qdrant, OpenSearch; re-ranking, hallucination evals, chunking strategies). Strong Python for ML/LLM workflows; advanced TypeScript and Node for platform services. Platform integration of AI agents, quality policies, and data-driven dashboards. Strong fundamentals in mocking, dependency injection, and distributed systems. Experience building shared execution images/runners and multi-tenancy controls (hardened, versioned images; isolation/quotas; fair queuing) on a company internal cloud (e.g., Kubernetes or an internal scheduler). Experience with cross-platform automation frameworks across web, native, and APIs; and reducing flakiness and improving time-to-signal via heuristics/stats. Experience building and integrating REST and federated GraphQL (e.g., Apollo Federation v2) services, including subgraph/endpoint development, schema/API composition, and deployment collaboration with platform teams. Experience creating deterministic test data: seeding known records, masked subsets, synthetic data; managing golden dataset versioning and lineage. Ability to explain complex systems simply to engineers and non-engineers.

Responsibilities

The Software Engineer will prototype quickly, connect engineering efforts to business outcomes, and balance rigor with AI-driven velocity while building and extending the quality platform, including orchestration, retrieval, evaluation harnesses, and APIs to scale quality across the portfolio. This role involves applying modern AI/ML to enhance automated coverage, reduce infrastructure and test flakiness, and accelerate time-to-signal for high-visibility launches.