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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Apple Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $150,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Bug Management, Continuous Integration, 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:** September 3, 2026 - **Apply:** https://www.themuse.com/jobs/apple/software-engineer-quality-retail-and-marcom-engineering-964b74 ## About the Role 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., 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. ## 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 Responsibilities: Build platform services that normalize data from PRs, specs, logs, and test runs and surface signals in a central dashboard Evolve the execution layer by operating shared runners with fair queues and hardened images and by adding observability and repeatable test data to reduce infra flakiness and speed time to signal Codify guardrails by implementing thresholds and Pass or Warn or Block verdicts with lightweight change history Prototype quickly and deliver end to end from design to launch with fast, disciplined iterations Partner across Engineering to drive adoption and a simple developer experience Ship agentic workflows to automate test generation, defect triage, and CI/CD gates Integrate LLM and retrieval to power internal QE copilots and PRs or Slack embeds ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Stop using Node.js like in 2020! 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