Senior AI Site Reliability Engineer
cisco
Job Description
- Bachelor of Engineering or Technology with a minimum of 10 years of experience and demonstrated ability in designing and building scalable and reliable networking solutions specifically for AI/ML infrastructure and high-performance computing environments.
- Proven leadership skills to successfully drive strategic automation initiatives, influence and guide the team’s direction in automation, and foster a culture of continuous improvement and innovation by proactively identifying and implementing solutions designed to enhance service reliability and operational efficiency for long-term success.
- Strong work experience with Cisco Data Center Networking technologies
- Strong programming skills and concepts to deliver networking technologies
- Expertise with Continuous Integration and Development (CI/CD), and setting up CI/CD pipelines
- Proficiency in Terraform and Ansible for Infrastructure as Code (IaC)
- Experience in tools including JIRA, GIT, and Jenkins
- Solid grasp of software engineering concepts including common data structures/standard algorithms, object-oriented design, distributed computing and cloud computing paradigms.
- Expertise in AI Fabric with a deep understanding of high-performance networking for AI/ML workloads.
- Managing networking for GPU Experience clusters environments.
- Ability to implement and utilize AI-based observability tools.
- Ability to forecast infrastructure needs for scaling AI workloads and managing the lifecycle of hardware/software releases.
- Experience in technologies like Routing, Switching, Nexus, VPC, VDC, VLAN, VXLAN, BGP
- Experience with ACI networks.
- Experience in creating documentation and training materials
- Ability to work closely with Business Units to resolve hardware/software interoperability issues.