Staff DevOps Engineer

Broadcom•San Diego, CA

1d•Onsite

About The Position

Broadcom is looking for a Staff DevOps Engineer (IC4) to join VMware Cloud Foundation’s (VCF) AI and Advanced Services team. This position is key to building a best in class Private Cloud AI Platform. The AI & Advanced Services team is responsible for building AI Platform capabilities into the VMware Cloud Foundation (VCF) product to enable our enterprise customers to have all of the AI platform features they need to build, deploy, test, manage, and scale their AI infrastructure and workloads. This role will be a member of the Private AI Services CI/DevOps Team, which is primarily responsible for delivering, maintaining and supporting all internal infrastructure and shared services required for Development and Testing of all Private AI Services software products. The ideal candidate will possess technical expertise in VMware SDDC products (vCenter, ESXi, NSX-T, WCP, etc.), Docker/Kubernetes and CI/CD pipeline management, great troubleshooting skills and a strong commitment to providing amazing technical support to the Engineering Team.

Requirements

BS in Computer Science or related technical fields with 8+ years of software industry experience, with a possible focus on DevOps, AI/ML, QA/QE, Infrastructure Management or CI/CD.
5+ years of experience with VMware SDDC products (vCenter, ESXi, NSX-T, WCP, etc.)
Very strong analytical and troubleshooting skills with ability to work independently
Strong proficiency in scripting languages such as Python and Bash for automation and task orchestration
Excellent communication and collaboration skills, with the ability to work with cross-functional teams
Experience with Container technologies (Docker and Kubernetes)
Experience with monitoring and logging tools (Prometheus, Grafana, etc.)
Experience with Infrastructure as Code (IaC) tools (Terraform, Ansible, etc.)
Experience with OCI Repository management (Artifactory, Harbor, etc.)
Experience with version control systems and tools, such as GitHub and Git
Candidate should not require sponsorship
Ability to work full time out of an office in Palo Alto, California

Nice To Haves

Prior exposure to AI/ML workloads, tools, or infrastructure is a very strong plus

Responsibilities

CI/CD Pipeline Management: Design, develop, implement, and maintain CI/CD pipelines using tools like GitHub Actions and Jenkins, ensuring seamless and automated software testing and delivery.
Infrastructure Delivery, Maintenance and Support: Design, provisioning, and ongoing support of resilient infrastructure environments, using VMware SSDC products, ensuring reliability and performance. Oversee lifecycle management of systems, proactively monitor and troubleshoot issues, and drive continuous improvements.
Infrastructure Automation: Drive adoption of Infrastructure as Code (IaC) practices to provision and manage different infrastructure environments.
Scripting & Tooling: Develop and maintain different automation scripts (Python, Powershell, Bash) for deployment, management, monitoring, and operational tasks.
Reliability & Monitoring: Implement and maintain observability solutions using Prometheus, Grafana, VMware Aria Ops for Logs, etc. to ensure infrastructure reliability and performance.
Troubleshooting & Support: Provide expert-level support to the Engineering Team for all issues related to internal infrastructure and shared services.
Collaboration & Mentorship: Collaborate very closely with the Engineering Team to intimately understand their infrastructure requirements. Apply DevOps and infrastructure expertise to guide the Engineering Team and propose tailored solutions, while mentoring on best practices in DevOps methodologies and effective usage of infrastructure resources.
Documentation: Maintain clear and comprehensive documentation of CI/CD and DevOps processes, pipelines, and infrastructure configurations.