Software Engineer, AML, AI & Data Platforms

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 24 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $177k

$116k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $150,874–$202,800.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Software Engineer, AML, AI & Data Platforms

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As a Software Engineer - AML - Ai & Data Platforms, you will join the ACM Platform team within the Information Systems and Technology group. You will design, develop, and operate high-throughput, low-latency distributed services to support internal users while building scalable platform capabilities for fraud detection and case management. Your daily work involves developing backend services using Java and Python, maintaining APIs, and building cloud-native services utilizing Kubernetes, Kafka, OpenSearch, Solr, and Cassandra. You will also contribute to platform modernization through service migrations, data routing, ingestion pipelines, and CI/CD automation. The role focuses on solving technical challenges related to fraud detection and case management by creating reliable, observable systems. You will leverage AI-assisted development tools and modern engineering practices to improve code quality and infrastructure efficiency across the internal platform.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 companies.

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Skills

Java Python Kubernetes Kafka OpenSearch Elasticsearch Solr Cassandra Distributed Systems CI/CD Cloud-native API Performance Tuning LLM AI-assisted Development

What you'll do

Design and develop scalable backend services using Java and distributed systems principles.
Build and maintain high-throughput, low-latency APIs for internal users.
Develop reliable, observable cloud-native services using Kubernetes, Kafka, OpenSearch, Solr, and Cassandra.
Execute platform modernization tasks including service migrations, data routing, and ingestion pipelines.
Enhance deployment automation, CI/CD pipelines, monitoring, and performance testing tools.
Troubleshoot production issues and perform performance tuning to improve service reliability.
Translate product requirements into well-designed technical solutions in collaboration with architecture teams.
Utilize AI-assisted development tools to improve code quality and platform innovation.

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent professional experience.
2+ years of software engineering experience developing backend or distributed systems.
Strong Java development experience with modern JDK versions (preferred).
Hands-on coding experience with Python.
Understanding of distributed systems, concurrency, scalability, reliability, and fault-tolerant design.
Experience with Kafka, OpenSearch/Elasticsearch, Solr, Cassandra, or similar distributed technologies.
Experience developing cloud-native applications and working with Kubernetes (preferred).
Familiarity with AI concepts, LLM-based development tools, or AI-assisted software engineering (preferred).

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