Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Experience
- Senior Level 4+ years of experience in software engineering/data science Experience building data science or data analysis tools on Hadoop/cloud based systems Preferred Qualifications Some experience with Docker, Kubernetes, or cloud platform deployment Familiarity with event-driven architectures and durable workflow orchestration frameworks (like Temporal) to coordinate complex, long-running processes Experience with Relational databases and NoSQL databases, including schema design, query performance and migrations Demonstrated understanding of the full software development lifecycle: design, testing, CI/CD, release, monitoring and production support Experience designing, building and scaling high-throughput distributed systems in production
- Education
- BS or advanced degree in Computer Science, related field or equivalent experience
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Role Summary
The Senior Software Engineer on Apple’s SDS Fulfillment team builds systems to automate and optimize order fulfillment and supply chain operations. The role works with machine learning engineers and software engineers on production systems and tools for fulfillment processes.
What You'll Do
- Develop and implement production software to optimize and automate business processes.
- Design system architecture with a focus on durability, reliability, concurrency, and performance under peak loads.
- Coordinate with external infrastructure teams on infrastructure needs.
- Identify opportunities to improve automation and tools, and implement process improvements for fulfillment and supply chain processes.
- Lead improvements in the team’s analytical software development maturity and skills.
- Develop and maintain release engineering practices, including CI/CD pipelines, automated testing, safe rollouts, database schema...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or advanced degree in Computer Science, a related field, or equivalent experience; mastery of Python, Java, Scala, C++ or an equivalent language; 4+ years of experience in software engineering/data science; experience building data science or data analysis tools on Hadoop/cloud-based systems.
Required
- 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
Preferred
- Some experience with Docker, Kubernetes, or cloud platform deployment
- Familiarity with event-driven architectures and durable workflow orchestration frameworks (like Temporal) to coordinate complex,...
- Experience with Relational databases and NoSQL databases, including schema design, query performance and migrations
- Demonstrated understanding of the full software development lifecycle: design, testing, CI/CD, release, monitoring and production support
- Experience designing, building and scaling high-throughput distributed systems in production
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions team is responsible for optimizing high-impact business processes & mitigating fraud, waste and abuse while empowering our customers and internal partners. The SDS software engineering team is building systems that enable large-scale supply chain and fulfillment optimizations, providing Apple extraordinary cost, labor, and environmental savings. We work side-by-side with machine learning engineers and business teams to implement scalable, easy-to-use systems and tools. We are seeking a customer-focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
The SDS Fulfillment team builds the systems that automate and optimize Apple's order fulfillment and supply chain operations, improving the customer experience while driving essential cost, labor, and carbon savings. 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 that directly impact our customers and company revenue.
You will be:
• Developing and implementing production software for optimizing & automating business processes
• Responsible for system architecture design with a focus on durability, reliability, concurrency, and performance under peak loads, such as product launches
• 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 fulfillment & supply chain processes
• Lead the team to increase the level of maturity and skill in analytical software development
• Responsible for release engineering, including CI/CD pipelines, automated testing, safe rollouts with feature flags, database schema migrations, and observability tooling
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
Preferred Qualifications
Some experience with Docker, Kubernetes, or cloud platform deployment
Familiarity with event-driven architectures and durable workflow orchestration frameworks (like Temporal) to coordinate complex, long-running processes
Experience with Relational databases and NoSQL databases, including schema design, query performance and migrations
Demonstrated understanding of the full software development lifecycle: design, testing, CI/CD, release, monitoring and production support
Experience designing, building and scaling high-throughput distributed systems in production
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
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.