Lead DevOps Engineer - AI Research Incubation
Description For Lead DevOps Engineer - AI Research Incubation
Salesforce is seeking a Lead DevOps Engineer to join their AI Research Incubation Team, offering an exciting opportunity at the intersection of DevOps and artificial intelligence. This role combines cutting-edge AI research support with advanced infrastructure management, making it perfect for those passionate about both fields.
The position involves architecting and maintaining the crucial infrastructure that powers Salesforce's AI research initiatives. You'll be working with state-of-the-art cloud technologies across AWS and GCP platforms, implementing sophisticated CI/CD pipelines, and ensuring the robust deployment of AI models and applications. The role requires expertise in container orchestration, infrastructure as code, and automation, with a focus on maintaining high security and performance standards.
As a Lead DevOps Engineer, you'll collaborate closely with AI researchers and software engineers, bridging the gap between research and production environments. You'll be responsible for designing scalable solutions that enable efficient AI model deployment and testing, while ensuring the infrastructure remains secure and optimized.
The ideal candidate will bring strong technical expertise in cloud platforms, containerization, and automation tools, combined with the ability to solve complex infrastructure challenges. With a competitive salary range of $172,000 - $334,600, comprehensive benefits, and the opportunity to work with leading AI researchers, this role offers an excellent opportunity to shape the future of AI infrastructure at one of the world's leading enterprise software companies.
Working at Salesforce's Palo Alto location, you'll be at the heart of Silicon Valley's tech ecosystem, contributing to groundbreaking AI research while building and maintaining the infrastructure that makes it possible. This role is perfect for someone who wants to combine their DevOps expertise with the exciting field of AI research, offering both technical challenges and opportunities for innovation.
Responsibilities For Lead DevOps Engineer - AI Research Incubation
- Design, implement, and manage cloud infrastructure (AWS, GCP) including networking, security, and compute resources
- Develop and maintain CI/CD pipelines to automate deployment and testing of AI models and applications
- Build, manage, and optimize Kubernetes clusters for deploying AI services and research applications
- Implement infrastructure as code (IaC) using Terraform and Helm
- Automate system operations and monitoring using Python and shell scripting
- Ensure security standard methodologies across cloud environments
- Solve infrastructure issues and optimize system performance
- Collaborate with AI researchers and software engineers to streamline model deployment and integration
- Manage databases (SQL and No-SQL), including provisioning, performance tuning, and backup strategies
- Ensure database security, replication, and high availability across cloud environments
Requirements For Lead DevOps Engineer - AI Research Incubation
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 3+ years of experience in DevOps, cloud infrastructure, or site reliability engineering
- Strong experience with AWS and GCP, including DNS, VM management, networking, Kubernetes, and firewall security
- Proficiency in CI/CD pipeline development and automation
- Expertise in Docker, Kubernetes, and Helm for container orchestration and deployment
- Hands-on experience with Terraform for infrastructure provisioning and management
- Strong scripting skills in Python and shell scripting for automation
- Solid understanding of networking, security standard processes, and cloud monitoring tools
- Excellent troubleshooting and problem-solving skills
Benefits For Lead DevOps Engineer - AI Research Incubation
- Competitive salary range: $172,000 - $334,600
- Medical, Dental, and Vision Insurance
- 401k retirement plan
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