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# Software Engineer

- **Company:** Apple Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Dependency Injection, Distributed Systems, Python (Programming Language), Node.Js, Mockito, Systems Integration, Test Data, TypeScript, Management of Software Versions, Large Language Models, Concurrency, Event Driven Architecture, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Graphql, Restful APIs
- **Published:** June 27, 2026
- **Apply:** https://www.dice.com/job-detail/3526ed4e-6801-462b-aaa7-7a02a2bc82bf

## About the Role

Requires Bachelor's degree in Computer Science, a technical field or a minimum of 5 years of relevant work experience in the US.

Programming fundamentals demonstrated across multiple projects or large/shared codebases, with the ability to ramp quickly as the stack evolves, including designing asynchronous, event-driven systems - applying concurrency, non-blocking I/O, and sound failure handling at scale.

Experience with RESTful/GraphQL APIs and automated testing frameworks.

Experience either improving liability of shared CI/test infrastructure or operating a CI runner fleet.

Shipped one LLM-powered feature.

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 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.

## 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


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