Senior Platform Engineer – People Systems

Apple, Inc.; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Apple, Inc. is seeking a Senior Platform Engineer for People Systems to shape the technical strategy of a configuration-driven platform used by Apple’s People team.

You’ll own components from design to production, focusing on security, scalability, and multi-tenant reliability in a complex, high-scale environment. You will collaborate with product managers and cross-functional teams to translate problems into robust platform solutions, balancing fast delivery with long-term health and data

Qualifications

• 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 testab

Responsibilities

• 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
• 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

Job description

Apple, Inc. is seeking a Senior Platform Engineer for People Systems to shape the technical strategy of a configuration-driven platform used by Apple’s People team.

You’ll own components from design to production, focusing on security, scalability, and multi-tenant reliability in a complex, high-scale environment. You will collaborate with product managers and cross-functional teams to translate problems into robust platform solutions, balancing fast delivery with long-term health and data