Senior Software Engineer, Data Science & Analytics Platform Engineering

Who you are

You have a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. With over 7 years of experience in software architecture design and development, you possess deep expertise in Service Oriented Architecture and Distributed Systems. You have spent at least 2 years in technical leadership roles focused on platform engineering or infrastructure, guiding teams towards successful outcomes.

Your proficiency with containerized technologies, particularly Docker, and container orchestration platforms like Kubernetes and Terraform, allows you to build and maintain scalable systems. You have a proven ability to design, operate, and maintain distributed systems, ensuring they are monitored, observable, and automated effectively. Your development skills shine through in your experience building backend API services using Python, where you have created robust solutions that support analytics ecosystems.

Desirable

You are someone who thrives in a collaborative environment, mentoring analytics teams and influencing technical direction across multiple organizations. Your strategic mindset enables you to drive platform decisions that align with the company's vision, ensuring that the infrastructure you build is resilient and scalable, safeguarding customer privacy and trust.

What you'll do

As a Senior Data Platforms Software Engineer at Apple, you will define the technical vision for the Services Data Science & Analytics Platform and lead the architectural evolution of the platform infrastructure. You will collaborate with cross-functional teams to enable Data Science through robust data platforms for analytics, ensuring that systems operate seamlessly at enterprise scale.

Your role will involve driving strategic platform decisions, mentoring analytics teams, and influencing technical direction across various organizations. You will be responsible for building and optimizing the platform that supports Apple's analytics ecosystem, ensuring that it meets the highest standards of performance and reliability.

You will engage in technical discussions, providing insights and guidance on best practices for software architecture and development. Your leadership will help shape the future of data science at Apple, as you work to create a resilient infrastructure that supports innovative analytics solutions.

What we offer

At Apple, you will be part of a team that values creativity and innovation. We offer a collaborative work environment where your contributions will directly impact the company's success. You will have opportunities for professional growth and development, working alongside some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering diverse teams that drive better products.