Lead DevOps Engineer, Salesforce

• The ideal candidate has extensive experience with AWS, GCP (DNS, VM, Kubernetes, networking, firewall), as well as strong expertise in CI/CD, Docker, Kubernetes, Helm, Terraform, Python, and shell script
• 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 (GitHub Actions, Jenkins, GitLab CI/CD, etc.)
• 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

Desirable

• We are seeking a Senior DevOps Engineer to join the Salesforce AI Research Incubation Team!
• In this role, you will be responsible for designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support AI research and development
• You will ensure the reliability, scalability, and security of our AI-driven applications through automation, containerization, and infrastructure as code (IaC)
• 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 to ensure repeatable and scalable deployments
• Automate system operations and monitoring using Python and shell scripting
• Ensure security standard methodologies across cloud environments, including firewall and access control management
• Solve infrastructure issues and optimize system performance
• Collaborate with AI researchers and software engineers to streamline model deployment and integration
• Task about managing databases (SQL and No-SQL), including database provisioning, performance tuning, and backup strategies
• Ensure database security, replication, and high availability across cloud environments