Senior Software Engineer - Fulfillment Ops
19 days ago Austin, TX
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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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
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
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
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
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
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
Additional Information
- Posted: 19 days ago