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# Software Engineer

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Data Analysis, C++ (Programming Language), Data Structures, Data Systems, Relational Databases, Fraud Prevention and Detection, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Scala (Programming Language), Software Engineering, Cloud Platform System, Kubernetes, Information Technology, Docker
- **Published:** October 2, 2026
- **Apply:** https://www.themuse.com/jobs/apple/software-engineer-strategic-data-solutions-dc6d69

## About the Role

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment?, Some experience with Docker, Kubernetes, or cloud platform deployment

Experience with Relational databases and NoSQL databases

Demonstrated understanding of the full software development lifecycle

Excellent problem solving, critical thinking, and communication skills

Solid grasp of computer science fundamentals including data structures and algorithms

Solid ability to evaluate and apply new technologies in a short time

Self-motivated, proactive, and solution-oriented

Minimum Qualifications

BS or advanced degree in Computer Science, related field or equivalent experience

Mastery of one of Python, Java, Scala, C++ or equivalent language

4+ years of experience in software engineering/data science

Experience building data science or data analysis tools on Hadoop/cloud based systems

## Description

With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you're interested in being a part of a team that's constantly learning and problem-solving, we'd love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS.

You will be:

 * Developing and implementing production software for preventing fraud

 * Responsible for system architecture design

 * Working with external infrastructure teams to drive the development of infrastructure needs

 * Innovating by recognizing opportunities for automation and tools improvements

 * Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics

 * Responsible for technical leadership for a team of data scientists

 * Lead the team to increase the level of maturity and skill in analytical software development

 * Responsible for release engineering


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