Software Engineering • Senior

Who you are

You have 5+ years of experience in software engineering, particularly in building scalable data platforms — you've successfully led projects from conception to deployment, ensuring high performance and reliability. Your expertise in Java and Python allows you to develop robust applications that handle complex data processing tasks efficiently.

You possess a strong understanding of cloud technologies, particularly AWS, and have experience with container orchestration using Kubernetes — you've implemented solutions that leverage cloud-native architectures to optimize resource utilization and scalability. Your familiarity with Apache Spark enables you to process large datasets effectively, driving insights that inform product development.

You are skilled in using Docker for containerization, which enhances the portability and consistency of your applications across different environments — you understand the importance of CI/CD practices and have experience implementing them to streamline development workflows. Your problem-solving skills are complemented by a proactive approach to identifying and addressing performance bottlenecks in data processing pipelines.

You thrive in collaborative environments and have experience working closely with data scientists and other engineers — you understand the nuances of translating business requirements into technical specifications and enjoy mentoring junior team members to help them grow in their roles. You are committed to fostering an inclusive team culture where diverse perspectives are valued.

Desirable

Experience with machine learning frameworks such as TensorFlow or PyTorch would be a plus, as you may work on projects that involve model training and deployment. Familiarity with data visualization tools like Tableau or Looker can enhance your ability to communicate insights effectively to stakeholders.

What you'll do

As a Senior Software Engineer on the Apple Data Platform team, you will play a pivotal role in shaping the future of data analytics and machine learning at Apple. You will design and implement scalable solutions that support various applications, including Siri, Search, and Maps, ensuring that data is processed efficiently and securely.

You will collaborate with cross-functional teams to define the architecture of the Apple Batch platform, focusing on optimizing performance and cost — your insights will drive decisions on technology stack and infrastructure design. You will also be responsible for developing and maintaining data pipelines that facilitate the ingestion, storage, and processing of large datasets across Apple’s data centers and cloud environments.

Your role will involve conducting code reviews and providing constructive feedback to ensure high-quality code standards are maintained — you will also participate in architectural discussions, contributing your expertise to enhance the platform's capabilities. You will be expected to stay updated on industry trends and emerging technologies, applying this knowledge to improve existing systems and processes.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront of everything we do. You will have the opportunity to work on cutting-edge technologies that impact millions of users worldwide. We provide competitive compensation and benefits, including health insurance, retirement plans, and generous paid time off.

You will be part of a diverse team that values collaboration and creativity, with opportunities for professional development and career advancement. At Apple, we believe in empowering our employees to make a difference and contribute to our mission of creating the best products and services for our customers.