Senior Software Engineer, G&A Solutions Engineering (GSE)

G&A Solutions Engineering (GSE) is IS&Ts dedicated technology partner for Apples 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.

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization.

IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.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 5 years proven experience developing software in a professional capacity. 4 years proven experience with Java or Kotlin, including proficiency in concurrency, memory management, and performance optimization techniques. Proficiency 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. 4 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 within a team as a tech lead (TL), while mentoring 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.