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 with advanced DevOps practices, offering an opportunity to design and implement cloud infrastructure and CI/CD pipelines that power AI research and development. You'll work with state-of-the-art technologies including AWS, GCP, Kubernetes, and modern DevOps tools while ensuring the reliability, scalability, and security of AI-driven applications.
As a Lead DevOps Engineer, you'll be responsible for building and maintaining the critical infrastructure that supports Salesforce's AI research initiatives. This includes designing cloud architectures, implementing automated deployment pipelines, and managing Kubernetes clusters for AI services. You'll work closely with AI researchers and software engineers, bridging the gap between research and production-ready systems.
The role offers exposure to both traditional DevOps practices and emerging AI technologies, making it an ideal position for someone who wants to be at the intersection of infrastructure and artificial intelligence. You'll be working with a diverse team of experts in a company known for its innovative culture and market leadership in enterprise software.
The position requires strong technical expertise in cloud platforms, containerization, and automation tools, combined with the ability to collaborate effectively with research teams. You'll have the opportunity to influence the direction of AI infrastructure at Salesforce while working on challenging problems at scale. The role offers competitive compensation and the chance to work with some of the brightest minds in both DevOps and AI research.
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
- 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
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