Senior Software Engineer - Strategic Data Solutions

Apple Inc.; Austin (TX); On-site; USD 80,000 - 130,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer in Strategic Data Solutions, where you will collaborate with talented Machine Learning Engineers and Software Engineers to create innovative tools and systems for fraud prevention. This role offers the chance to lead technical initiatives, enhance analytical software development, and drive process improvements, all while working in a dynamic environment that values learning and problem-solving. If you're passionate about technology and eager to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in software engineering or data science.
• Mastery of a programming language like Python, Java, or Scala.

Responsibilities

• Develop and implement software for fraud prevention.
• Lead system architecture design and process improvements.

Skills

Python

Java

Scala

C++

Problem Solving

Critical Thinking

Communication Skills

Education

Bachelor's in Computer Science

Advanced Degree in Computer Science

Tools

Docker

Kubernetes

Hadoop

Cloud Platforms

Relational Databases

NoSQL Databases

Job description

Software Engineer - Strategic Data Solutions

Austin, Texas, United States Software and Services

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:

1. Developing and implementing production software for preventing fraud
2. Responsible for system architecture design
3. Working with external infrastructure teams to drive the development of infrastructure needs
4. Innovating by recognizing opportunities for automation and tools improvements
5. Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
6. Responsible for technical leadership for a team of data scientists
7. Lead the team to increase the level of maturity and skill in analytical software development
8. Responsible for release engineering

Minimum Qualifications

• Mastery of one of Python, Java, Scala, C++ or equivalent language
• 3+ years of experience in software engineering/data science
• Experience building data science or data analysis tools on Hadoop/cloud based systems
• BS or advanced degree in Computer Science, related field or equivalent experience

Preferred Qualifications

• 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

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.