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Lead DevOps Engineer - AI Research Incubation

Global leader in CRM and enterprise cloud computing solutions, providing software and platform services.
$172,000 - $334,600
DevOps
Staff Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
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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 modern DevOps practices, offering an opportunity to work with advanced cloud technologies and automation tools. You'll be responsible for designing and implementing robust cloud infrastructure using AWS and GCP, managing Kubernetes clusters, and developing CI/CD pipelines for AI model deployment.

The position offers a competitive salary range of $172,000 - $334,600 and is based in prime tech locations including Palo Alto, Seattle, and Bellevue. As part of Salesforce, one of the world's leading enterprise software companies, you'll work in an environment that values innovation, equality, and professional growth.

Your work will directly impact the scalability and reliability of AI research applications, making you a crucial bridge between research and production environments. The role requires expertise in cloud platforms, containerization, infrastructure as code, and automation, with a focus on security and performance optimization.

Salesforce offers comprehensive benefits, including medical, dental, and vision insurance, and maintains a strong commitment to equality and inclusion in the workplace. The company's culture promotes merit-based growth and values diverse perspectives, making it an ideal place for technology professionals looking to make a significant impact in the AI and cloud infrastructure space.

This role is perfect for experienced DevOps engineers who are passionate about AI technology and want to work with cutting-edge tools and methodologies. You'll be part of a team that's pushing the boundaries of AI research while building and maintaining the infrastructure that makes it all possible.

Last updated a month ago

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

Requirements For Lead DevOps Engineer - AI Research Incubation

Python
Kubernetes
  • 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

Benefits For Lead DevOps Engineer - AI Research Incubation

Medical Insurance
Dental Insurance
Vision Insurance
  • Comprehensive medical, dental, and vision insurance
  • Equal opportunity employer
  • Inclusive workplace culture
  • Merit-based compensation and promotions

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