Senior Software Engineer (Platform Engineer), G&A Solutions Engineering (GSE) - Jobs - Careers at Apple

G&A Solutions Engineering (GSE) is IS&T's dedicated technology partner for Apple's general and administrative functions — including people, finance, facilities, legal, and security. The team builds and delivers integrated technology solutions that keep these functions running efficiently and securely at global scale. GSE also works closely with business teams to develop custom tools that improve productivity and bring greater automation and consistency to G&A operations across Apple. When you engineer for People Systems, your users are Apple’s most vital asset: its People. We are seeking a Senior Platform Engineer to shape the technical strategy for People Systems with a passion for platforms where configuration is the product, and agentic workflows that redefine what's possible. You will be working on a Platform that helps define features. Data models, rules, workflows, permissions, screens and reports are all versioned configuration, interpreted at runtime, so the people closest to a problem can change how the system behaves without waiting for a release. Hundreds of components must behave as one system. We are looking for a passionate engineer who can make that true. We value engineers who bring both technical excellence and product thinking. You'll make the architectural calls that balance fast delivery against long-term platform health, and build systems that are scalable, secure and resilient by design rather than by retrofit. This role requires someone who thrives on complexity but ships simplicity. Collaboration is central to how we work. You’ll partner with product managers and cross-functional engineering teams to understand problems deeply before reaching for solutions. The best engineers here are the ones who ask “why” before “how.” If you care deeply about precision, data integrity, and crafting platforms where scale meets human empathy, come join us to do the best work of your life.

• Design, build and own components of a configuration-driven platform, from design to production, hands-on, growing from well-scoped components to whole services
• Make configuration safe to change: validated, versioned and previewable before release, with controlled promotion across environments and rollback
• Build security, tenancy and privacy into the platform itself, so that unsafe access is impossible rather than left to caller discipline
• Build event-driven services that handle high-concurrency, multi-tenant workloads reliably
• Design APIs and contracts with clear versioning and compatibility checks, so consuming teams can build without coordination overhead
• Help interdependent components behave as one system, respecting boundaries and contracts, and fixing issues that span components
• Own correctness: write the tests that prove it, build quality gates into the delivery pipeline so every change, whether written by a person or an agent, is verified before it ships, and take part in code review
• Diagnose and fix distributed-systems issues through to a root-cause fix
• Operate what you ship: build observability in, deploy without downtime, and take a share of on-call
• Work AI-natively: build with coding agents in an orchestrated workflow and verify their output with tests and review
• Automation Development: Design and build tools to streamline development tasks and performance tuning. Integrate AI/ML capabilities into areas like intelligent configuration recommendations, workload-aware scheduling, and LLM-powered interfaces that simplify complex operator workflows
• API-Driven Services: Design, build, and maintain secure, versioned microservices that expose application lifecycle operations as APIs. Ensure correctness under concurrent execution, handle partial failures gracefully, and evolve the API surface to support new capabilities without breaking existing consumers
• Continuous Integration/Continuous Deployment (CI/CD): Integrate application management automation into CI/CD pipelines with automated testing, canary rollouts, and rollback capabilities
• Monitoring and Alerting: Develop and enhance monitoring, alerting, and health-check systems that give both the platform team and customers deep visibility into application health. Build self-healing mechanisms that detect and remediate known failure patterns automatically
• Build agents for the AI SDLC that generate, run, triage and maintain tests, and the automation and quality gates around them
• Contribute designs and reference implementations, and partner with architects and product to turn ambiguous problems into clear specs

• 8 years proven experience developing software in a professional capacity. Longer experience strongly preferred.
• 6 years proven experience with Java or Kotlin, including mastery in concurrency, memory management, and performance optimization techniques.
• 8 years proven mastery in OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code.
• 6 years proven experience in least one modern frontend stack (such as React/Next.js) coupled with LLM feature development, utilizing the top 3 ecosystem languages: TypeScript, Python, and JavaScript.
• B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.

• Track record of leading software projects that span multiple, distributed teams as a tech lead (TL), while mentoring senior-level software engineers.
• Hands-on experience leveraging GenAI coding tools (e.g., Claude, Copilot, Codex) to accelerate the software development lifecycle, enhance code quality, and streamline debugging and testing processes.

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