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

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.

Description

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.

Minimum Qualifications

4 years of professional backend or platform engineering, building scalable distributed systems

4 years experience in building or contributing to components of a configuration-driven or metadata-driven platform used by multiple teams: metadata models, multi-tenancy, extensibility and versioned APIs

4 years of professional development in TypeScript or Java (21+) and Spring Boot (or equivalent), microservices patterns and async programming: virtual threads, coroutines or reactive programming

4 years of working knowledge of distributed systems: consistency, fault tolerance, partitioning and failure-mode analysis

BS/MS in Computer Science, Computer Engineering, or a related field, or equivalent practical experience

Preferred Qualifications

Comfortable across technology stacks rather than tied to one: picks up whatever language, framework or datastore a component demands

Experience with event-driven systems on Kafka (or equivalent): ordering, idempotent consumers, replay and schema evolution

Working expertise with relational or NoSQL databases: schema design, query optimization, migrations and transaction management

Designed or contributed to APIs and contracts consumed by other teams: versioning, backward compatibility and documentation

Experience with multi-tenant or security-sensitive systems: authorization, data isolation and audit

Operated production systems: monitoring, alerting, health checks, incident response and a post-mortem culture, with working knowledge of rollout practice (canary, feature flags, rollback)

Demonstrated experience with AI-native development in an orchestrated workflow: specifying tasks for coding agents, coordinating them across steps, and verifying their output with tests and review

Test engineering and delivery automation fundamentals: test design and the test pyramid, deterministic and contract tests, flaky-test management, and CI/CD pipelines

Ability to break down ambiguous problems with guidance and to communicate trade-offs clearly to engineers and product partners

Experience running configuration-driven systems where non-engineers change behaviour, including validation, impact preview, promotion and rollback

Background in CQRS, event sourcing, or saga-based orchestration patterns for long-running workflows

Experience building platform-based solutions in the People space

Familiarity with compliance and audit requirements in systems handling sensitive personal data (PII, financial, or regulated HR data)

Experience decomposing or extending monolithic systems into services that interoperate with an existing system of record

Fluency with developer experience for platform consumers: SDKs, local test harnesses and self-service onboarding

Experience building agents that act on engineering workflows (test generation, code review, failure triage), with sandboxed execution and human approval for any change

Experience building self-healing automation that detects and remediates known failure patterns, with safe limits and human approval for risky actions