Lead DevOps Engineer - AI Research Incubation
Description For Lead DevOps Engineer - AI Research Incubation
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 support with advanced cloud infrastructure management, offering an exciting opportunity to work with state-of-the-art technologies. You'll be responsible for designing and implementing robust cloud infrastructure and CI/CD pipelines that power AI research and development initiatives.
As a Lead DevOps Engineer, you'll work with multiple cloud platforms (AWS, GCP), managing everything from networking and security to compute resources. Your expertise in container orchestration, infrastructure as code, and automation will be crucial in building scalable, reliable systems that support AI model deployment and research applications. You'll collaborate closely with AI researchers and software engineers, bridging the gap between research and production environments.
The role requires strong technical skills in Python, Docker, Kubernetes, and Terraform, combined with a deep understanding of cloud architecture and security principles. You'll be responsible for implementing best practices in DevOps, ensuring high availability, and maintaining robust security standards across all systems. This position offers the unique opportunity to work with cutting-edge AI technologies while building and maintaining the infrastructure that makes innovation possible.
Working at Salesforce means joining a company known for its innovative culture and commitment to customer success. You'll be part of a team that values collaboration, continuous learning, and technical excellence. The company's strong presence in the enterprise software market and its investment in AI research makes this an exciting opportunity for someone looking to make a significant impact in the field of AI infrastructure and DevOps.
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 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
