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# Software Engineer, Finance Engineering

- **Company:** Apple Inc.
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), LTE (Telecommunication), Spring Security, Apache ActiveMQ, Application Programming Interfaces (APIs), Airflow, Automation of Tests, Big Data, Software Quality, Information Systems, Databases, Computer Engineering, Command-Query Responsibility Segregation (Software Development), Data Structures, Data Systems, Software Debugging, Dependency Injection, Software Design Patterns, Distributed Data Store, Distributed Systems, Memory Management, Ehcache, Elasticsearch, Fault Tolerance, Protocol Buffers, Hazelcast, PostgreSQL, Memcached, Enterprise Messaging Systems, MongoDB, MySQL, Natural Language Processing, NoSQL, Oracle (Applications), Performance Tuning, Query Optimization, RabbitMQ, Redis, Distributed Caching, Oop Languages, Microsoft Copilot, Swagger, Session Management, Software Engineering, Apache Solr, Management of Software Versions, Openapi, Pinecone, Postman, Spring Cloud, Spring-mvc, Large Language Models, Concurrency, Prompt Engineering, Apache Spark, Spring-boot, Caching, Computerised Systems, Generative AI, Indexer, Backend, Rate Limiting, Spring Data, Data Layers, Event Driven Architecture, Pgvector, Information Technology, Apache Flink, Cassandra, Weaviate, Apache Kafka, Reactive Programming, Graphql, Claude, Asynchronous Programming, Event Sourcing, Api Design, Full-text Search, Restful APIs, Stream Processing, Grpc, Data Pipelines, OpenSearch, Microservices
- **Published:** October 26, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-finance-engineering-los-angeles-ca--f78e377c-cee4-40a2-80aa-f04bbdb6cde1

## About the Role

Software Engineering, Finance, Information Technology & Information Systems, Apple, SOLR, Finance, Java, Apache ActiveMQ, memcached, Mail Services, 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.

## Description

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