DevOps Engineer for Machine Learning

4 days ago


San Jose, California, United States Adobe Full time
Balancing Innovation and Scalability

At Adobe, we're driving innovation in AI-powered creative tools. We're looking for a skilled DevOps Engineer for Machine Learning to help us balance the need for innovation with the requirement for scalability. As a key member of our team, you'll design and architect DevOps processes for machine learning platforms, ensuring smooth collaboration between data science, engineering, and operations teams.

Your expertise in Linux, Ansible, Docker, and Kubernetes will enable us to deliver high-quality software quickly and reliably. With a strong background in distributed computing, HDFS, Spark, and Presto, you'll work closely with data scientists to optimize model training and deployment. If you're passionate about delivering innovative products while ensuring scalability and reliability, join us in shaping the future of digital experiences.

We offer a competitive salary range of $142,700 - $257,600 annually, based on location and experience. Our compensation reflects the cost of labor across U.S. geographic markets, ensuring fairness and equity. In addition to a comprehensive benefits package, you'll enjoy opportunities for growth and development in a dynamic, inclusive environment.

We value diversity, equality, and inclusion, and are committed to creating a workplace where everyone feels respected and valued. Learn more about our company culture and values.

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