Cisco AI Operations Engineer Security 

United States, Georgia, Atlanta 

533500542

The application window is expected to close on: January 24, 2025.
Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Your Impact

As an AI Operations Engineer, you will play an important role in the team’s success by directly contributing to the reliability, scalability and performance of the infrastructure that powers all of AI Assistants and AI platforms within Cisco Security. This role is focused on providing robust operational support, enhancing reliability and uptime and reducing the frequency and impact of incidents. You will:

• Implement and maintain all AI Ops pipeline to automate tasks such as data collection, model training and deployment.
• Configure advanced monitoring, alerting and logging tools and platforms to track health and performance of AI Platform infrastructure
• Write automation as part of Infrastructure as Code (IaC) to deploy, maintain and upgrade critical infrastructure resources
• Collaborate with application development and infrastructure teams to design and architect AI Ops solutions.
• Using data and telemetry to improve feature work and propose feature improvements
• Respond to incidents and outages, troubleshoot issues and implement solutions to restore service
• Participate in OnCall rotation to monitor and quickly resolve critical production alerts

Minimum Qualifications:

• Bachelor’s degree plus a minimum of 5 years or Master’s degree plus a minimum of 3 years of industry experience to include programming using Python, Java, Bash or similar languages
• 2+ years of experience using container technologies such as Docker or Kubernetes
• 2+ years of cloud computing and working with cloud providers such as AWS, GCP, or Azure
• Experience with Infrastructure as Code (IaC) tools like Terraform and observability platforms like Splunk, Grafana or Prometheus
• Experience with source control and continuous integration tools like Git, Jenkins

Preferred Qualifications:

• Experience with SaaS based products
• Experience with model training and deployment in production environments
• Ability to work cross functionally with engineering and data science teams
• Aptitude to stay up to date with advancing AI and Machine Learning Technologies and industry best practices
• Ability and the passion to learn new things quickly

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