Job description

As part of the ACM Platform team, you will design, develop, and operate high-throughput, low-latency distributed services that support more than 1,500 internal users across Apple. You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management. B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience. 4+ years of software engineering experience developing backend or distributed systems. Strong Java development experience, preferably with modern JDK versions Hands on coding experience with Python Good understanding of distributed systems, concurrency, scalability, reliability, and fault-tolerant design. Hands-on experience with some combination of Kafka, OpenSearch/Elasticsearch, Solr, Cassandra, or similar distributed technologies. Experience developing cloud-native applications and working with Kubernetes. Ability to troubleshoot complex technical issues and perform performance analysis and optimization. Familiarity with AI concepts, LLM-based development tools, or AI-assisted software engineering is a plus. Strong problem-solving skills and the ability to independently deliver well-defined technical projects. Good communication and collaboration skills across engineering and cross-functional teams. Self-motivated, accountable, and comfortable taking ownership of components and features from design through production.

Requirements

Must-haves

B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
4+ years of software engineering experience developing backend or distributed systems.
Strong Java development experience, preferably with modern JDK versions
Hands on coding experience with Python
Good understanding of distributed systems, concurrency, scalability, reliability, and fault-tolerant design.
Hands-on experience with some combination of Kafka, OpenSearch/Elasticsearch, Solr, Cassandra, or similar distributed technologies.
Experience developing cloud-native applications and working with Kubernetes.
Ability to troubleshoot complex technical issues and perform performance analysis and optimization.
Strong problem-solving skills and the ability to independently deliver well-defined technical projects.
Good communication and collaboration skills across engineering and cross-functional teams.
Self-motivated, accountable, and comfortable taking ownership of components and features from design through production.

Nice-to-haves

Familiarity with AI concepts, LLM-based development tools, or AI-assisted software engineering is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javapythonkubernetesaillm

Platform: apple
Effort: medium