
The personal technology company redefining user experience
Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Apple • Seattle, Washington, United States
Apple is hiring a Senior/Staff Software Engineer for the Apple Data Platform team to drive the evolution of the Apple Batch platform. You'll work with technologies like AWS, Apache Spark, and Kubernetes to support large-scale data workloads. This position requires expertise in data processing and machine learning.
You have a strong background in software engineering with a focus on large-scale data processing — your experience includes building and optimizing platforms that handle significant workloads across cloud environments. You are proficient in Python and have a solid understanding of machine learning principles, enabling you to contribute effectively to data-driven projects. Your expertise in AWS and container orchestration with Kubernetes allows you to design scalable solutions that meet the needs of diverse teams.
You thrive in collaborative environments and enjoy working closely with data scientists and engineers to create innovative solutions — your ability to communicate complex technical concepts clearly helps bridge the gap between technical and non-technical stakeholders. You are passionate about driving platform adoption and are eager to take on a leadership role in shaping the future of the Apple Batch platform.
Experience with Apache Spark is a plus, as it will enhance your ability to manage and orchestrate data processing tasks efficiently. Familiarity with cost optimization strategies in cloud environments will also be beneficial as you work to ensure the platform remains efficient and effective.
In this role, you will lead the technical direction of the Apple Batch platform, focusing on enhancing its capabilities for large-scale batch and machine learning workloads. You will collaborate with cross-functional teams to ensure the platform meets the evolving needs of Apple’s data and AI services. Your responsibilities will include designing and implementing new features, optimizing existing workflows, and ensuring the platform's reliability and security.
You will also be responsible for driving the adoption of the platform across various teams within Apple, providing guidance and support to engineers and data scientists as they leverage the platform for their projects. Your leadership will be crucial in fostering a culture of innovation and collaboration, ensuring that the platform remains at the forefront of technology.
Apple offers a dynamic work environment where you can make a significant impact on the future of data processing and machine learning within the company. You will have the opportunity to work with cutting-edge technologies and collaborate with some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective and skills could be a great fit for our team. Join us in shaping the future of the Apple Data Platform and making a difference in the lives of millions of users worldwide.
Apply now or save it for later. Get alerts for similar jobs at Apple.