Job 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 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 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

Requirements

Must-haves

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
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningci/cdpythonjavadockerkubernetes

Platform: apple
Effort: medium