Apple

Apple

Austin, TX

Dev Ops Engineer - Ad Platforms

At Apple, we work every day to create products that enrich people’s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power Search Ads in the App Store and the advertising found in Apple News. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy! The Ad Platforms Data Insights Engineering team is seeking a DevOps engineer to join in building and deploying the next generation of cloud infrastructure components to enable efficient execution of analytical workloads to empower Sales, Product, and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core analytical data products for Ad Platforms. Building the foundational data architectures and pipelines for our capabilities.

- Solve tough problems across the technology spectrum including designing and deploying infrastructure on AWS and in some cases on-premises (e.g. cloud kubernetes deployments of JupyterHub, Airflow, conda environments) - Partner with business, analytics and engineering teams to understand specific requirements, build, and deploy infrastructure to support R&D, engineering and data science workloads at scale - Engineer solutions for integration with existing identity, security, and networking services; and provide troubleshooting expertise for high-impact cloud infrastructure incident - Use unix skills such as file permissions, managing file systems, networking, and user management - Use modern tools and technologies to build reliable and performant pipelines and data products - Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment