Software Engineer - AML - Ai & Data Platforms

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Comprehensive medical and dental care

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Sunnyvale, CA, seeks a Software Engineer for AML - Ai & Data Platforms to design, develop, and operate high-throughput backend services powering fraud detection and case management for 1,500 internal users.

You will work with IS&T’s AI & Data Platforms (AiDP) team, leveraging Kubernetes, Kafka, OpenSearch, Solr, and Cassandra to build scalable, observable cloud-native solutions and advance platform modernization.

Qualifications

• BS/CS degree or equivalent professional experience.
• 4+ years of software engineering experience developing backend or distributed systems.
• Strong Java development experience with modern JDK versions.
• Hands-on coding with Python.

Responsibilities

• Design and develop scalable backend services using Java and distributed systems principles.
• Build and maintain high-throughput and low latency API’s.
• Build reliable, scalable, and observable cloud-native services using Kubernetes, Kafka, OpenSearch, Solr, and Cassandra.
• Contribute to platform modernization, including service migrations, data routing, ingestion pipelines, and infrastructure improvements.
• Develop and enhance deployment automation, CI/CD pipelines, monitoring, performance testing, and operational tooling.
• Troubleshoot production issues, perform performance tuning, and improve service reliability and operational efficiency.
• Partner with Product, Architecture, and other engineering teams to translate requirements into well-designed technical solutions.
• Contribute to technical design discussions, code reviews, testing strategies, and engineering best practices.
• Use AI-assisted development tools and modern engineering practices to improve developer productivity, automation, code quality, and platform innovation.

Skills

Java development

Python

Distributed systems concepts

Cloud-native design

Education

Bachelor's degree in CS/CE or equivalent

Tools

Kubernetes

OpenSearch

Kafka

Solr

Cassandra

Job description

Software Engineer - AML - Ai & Data Platforms

Sunnyvale, California, United States Software and Services

Join us, the team that serves as Apple’s nerve center: Apple Information Systems and Technology group! We are looking for a Software Engineer - AML - Ai & Data Platforms, who will work closely with other Software Engineers, Project & Product Managers, Product Designers, and other internal & external partners.AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.When you join IS&T, you’ll help design and manage systems, frameworks, and apps that countless Apple customers and employees rely on every day. Together, we’ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best, and crafting magical experiences for our customers.

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.

Responsibilities

• Design and develop scalable backend services using Java and distributed systems principles.
• Build and maintain high-throughput and low latency API’s
• Build reliable, scalable, and observable cloud-native services using technologies such as Kubernetes, Kafka, OpenSearch, Solr, and Cassandra.
• Contribute to platform modernization, including service migrations, data routing, ingestion pipelines, and infrastructure improvements.
• Develop and enhance deployment automation, CI/CD pipelines, monitoring, performance testing, and operational tooling.
• Troubleshoot production issues, perform performance tuning, and improve service reliability and operational efficiency.
• Partner with Product, Architecture, and other engineering teams to translate requirements into well-designed technical solutions.
• Contribute to technical design discussions, code reviews, testing strategies, and engineering best practices.
• Use AI-assisted development tools and modern engineering practices to improve developer productivity, automation, code quality, and platform innovation.
• Independently own features and services while collaborating closely with senior engineers on larger platform initiatives.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.