Join Salesforce's AI Research Incubation Team as a Lead DevOps Engineer, where you'll be at the forefront of AI infrastructure development. This role combines cutting-edge AI research with modern DevOps practices, offering an opportunity to work with advanced cloud technologies and automation tools. You'll be responsible for designing and implementing robust cloud infrastructure using AWS and GCP, managing Kubernetes clusters, and developing CI/CD pipelines for AI model deployment.
The position offers a competitive salary range of $172,000 - $334,600 and is based in prime tech locations including Palo Alto, Seattle, and Bellevue. As part of Salesforce, one of the world's leading enterprise software companies, you'll work in an environment that values innovation, equality, and professional growth.
Your work will directly impact the scalability and reliability of AI research applications, making you a crucial bridge between research and production environments. The role requires expertise in cloud platforms, containerization, infrastructure as code, and automation, with a focus on security and performance optimization.
Salesforce offers comprehensive benefits, including medical, dental, and vision insurance, and maintains a strong commitment to equality and inclusion in the workplace. The company's culture promotes merit-based growth and values diverse perspectives, making it an ideal place for technology professionals looking to make a significant impact in the AI and cloud infrastructure space.
This role is perfect for experienced DevOps engineers who are passionate about AI technology and want to work with cutting-edge tools and methodologies. You'll be part of a team that's pushing the boundaries of AI research while building and maintaining the infrastructure that makes it all possible.