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&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

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 doesn't in most systems: the code

you write moves money, and it gets audited.

MINIMUM QUALIFICATIONS

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.

PREFERRED QUALIFICATIONS

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.