Software Engineer, Finance Engineering

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.

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. Most financial systems record what happened. We are building one that reasons - where AI agents interpret business intent, validate and enrich transactions, route approvals, match documents, and resolve exceptions, with humans in the loop by policy rather than by default. As a Senior Software Engineer, you will build the services that make that possible: the transaction pipeline, the sub-ledger, the orchestration layer, the tool APIs agents call, and the interfaces finance operators use to supervise and correct agent work. You will work across the stack with a backend center of gravity - the majority of your time in distributed services and data, and real ownership of the APIs and operator-facing surfaces that sit on top of them. You will work closely with the platform architect and with Finance, Controllership, and Accounts Payable partners. Correctness matters here in a way it doesnt in most systems: the code you write moves money, and it gets audited. Design, build, and operate backend services across the transaction lifecycle - ingestion, validation, enrichment, matching, approval routing, position tracking, settlement, and reconciliation. Build the tool and function APIs that AI agents act through: clean contracts, structured inputs and outputs, idempotent operations, and safe failure behavior when an agent gets something wrong. Implement agent workflows in production - graph-based orchestration, context assembly and retrieval, memory, structured output validation - and the evaluation harnesses that keep them honest as models and prompts change. Build the operator-facing surfaces that make agent work reviewable: exception queues, match and approval review, audit trails, and the APIs behind them. Model and evolve the platforms data layer - canonical transaction documents, event streams, sub-ledger balances - with the schema discipline and migration care that financial data demands. Write the business, matching, and accounting logic as versioned configuration rather than hard-coded branches, so finance teams can change behavior without a deploy. Own correctness in your services: immutable event history, exactly-once settlement, duplicate detection, reconciliation, and the audit lineage SOX controls depend on. Own your services in production - instrumentation, alerting, on-call, and the performance and cost characteristics of what you build. Raise the bar around you: thorough code and design review, tests that catch real defects, clear technical writing, and mentorship of engineers earlier in their careers. B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience. 8 years experience developing software in a professional capacity. 6 years experience with Java, including mastery in concurrency, memory management, and performance optimization techniques. 8 years working with 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 experience building production applications with the Spring ecosystem (e.g. Spring Boot, Spring MVC, Spring Security, Spring Data, Spring Cloud, etc.), including mastery in dependency injection, auto-configuration, reactive programming with WebFlux, and designing microservices using Spring-based patterns. 6 years experience designing, implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems. 6 years experience in API design and implementation, including mastery in RESTful API principles, gRPC, GraphQL, contract-first design (e.g. OpenAPI/Swagger, Protobuf, etc.), API versioning strategies, gateway patterns, rate limiting, and designing APIs for backward compatibility and long-term evolution. 6 years experience using relational (e.g. Oracle, Postgres, MySQL, etc.) and NoSQL (e.g. Cassandra, MongoDB, etc.) databases, including mastery in schema design, query optimization, performance tuning (e.g. execution plan analysis, indexing strategy, and query rewriting), and understanding of database transaction foundations across systems. 6 years experience with Natural Language Processing and Generative AI systems, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG) architectures, embedding pipelines, vector databases (e.g. Pinecone, Weaviate, pgvector, etc.), fine-tuning, and prompt engineering for production applications. 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. Experience with message-driven and event-driven architectures, including mastery in messaging systems (e.g. Kafka, RabbitMQ, ActiveMQ, etc.), event sourcing, CQRS patterns, and designing reliable asynchronous communication between distributed services. Experience with caching strategies and in-memory data technologies (e.g. Redis, Memcached, Hazelcast, Ehcache, etc.), including mastery in cache invalidation patterns, distributed caching architectures, and session management for high-throughput applications. Experience with search and indexing technologies (e.g. Elasticsearch, OpenSearch, Solr, etc.), including designing search architectures, index optimization, query tuning, and implementing full-text search for large-scale datasets. Experience with distributed data orchestration & computing systems (e.g. Airflow, Spark, Flink, etc.), including designing and managing complex data workflows, batch and real-time stream processing pipelines, and ensuring data pipeline reliability and fault tolerance at scale. Experience with contract testing and API test automation for microservices architectures, including mastery in consumer-driven contract testing (e.g. Pact, Spring Cloud Contract, etc.), API validation tools (e.g. REST Assured, Postman, etc.), and strategies for testing asynchronous and event-driven systems.