Lead DevOps Engineer - AI Research Incubation

Sorry, this job was removed at 07:32 p.m. (CST) on Monday, Jun 02, 2025
Palo Alto, CA
In-Office
Cloud • Software
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The Role

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About the Role
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).
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.

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.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

For California-based roles, the base salary hiring range for this position is $ to $.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

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