Salesforce Lead DevOps Engineer - AI Research Incubation 

United States, California, Palo Alto 

44448465

Job Category

Job Details

About the Role

Key Responsibilities
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.

Required Qualifications

• 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.

Preferred Qualifications

• Experience with AI/ML model deployment and pipeline automation.
• Knowledge of logging and monitoring tools (Prometheus, Grafana, ELK stack, etc.).
• Familiarity with serverless computing and cloud-native application design.
• Contributions to open-source DevOps tools or frameworks.
• Experience with Salesforce Falcon is a plus.

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Posting Statement

does not accept unsolicited headhunter and agency resumes.