Cisco is seeking a Senior Tools Engineer to lead DevOps efforts in optimizing CI/CD pipelines and enhancing build systems for AI applications. This role requires extensive technical expertise and collaboration with Operations and QA teams.
The application window is expected to close on 11/30/2025 However, the job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Senior Tools Engineer Meet the Team The SaaS Engineering organization within the Cisco Networking Group is committed to revolutionizing the deployment of generative AI applications. Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By using ground-breaking technologies, we are developing next-generation SaaS-based controllers designed to efficiently manage Data Centers with AI/ML solutions like Nexus Hyper-Fabric. https://www.cisco.com/site/us/en/products/networking/data-center-networking/nexus-hyperfabric/hyperfabric-ai/index.html Your Impact As a highly skilled DevOps Tools engineer, you will support the entire team with your extensive technical knowledge and passion for your work. You are committed to designing, deploying, and maintaining a modern build pipeline in a SaaS production environment. You will collaborate closely with Operations and QA teams to develop a highly reliable and observable build system. Your work will impact our org’s engineering quality and velocity, and ultimately the quality of product we deliver to our customers. You will: • Optimize and maintain builds and CI/CD pipelines using your expertise in Kubernetes, Docker, Gradle, and Jenkins. • Extract health metrics from the CI/CD pipelines and create informative dashboards and alerts. • Deploy infrastructure in the build environment to enhance performance, security, and visibility. • Design and develop features for the Infrastructure Minimum Qualifications: • Expertise with CI/CD systems like Jenkins or Github Action. • Expertise with containerization technologies such as Docker, orchestration tools like Kubernetes. • Bachelor’s Degree in Computer Science or a related field. • 7+ years of experience supporting software build systems. • Experience programming with two or more languages such as Go, Python, Bash, Java, C, C++. • Experience with multi-language builds using Gradle OR other build automation tools like Maven or Ant. • Experience with cloud providers like AWS, Azure, GCP. Preferred Qualifications • Understanding of key operating systems concepts. • Linux system administration. • Experience with IaC using tools such as Terraform or Ansible. • Experience with AI agents, MCP, similar technologies. • Experience with Gradle. Why Cisco • At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Cisco is seeking a DevOps Engineering Leader to enhance the deployment of generative AI applications. This role involves optimizing CI/CD pipelines and collaborating with cross-functional teams in a SaaS production environment.
Cisco is seeking a Senior Tools Engineer to lead DevOps efforts in optimizing CI/CD pipelines and enhancing build systems for AI applications. This role requires extensive technical expertise and collaboration with Operations and QA teams.
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Cisco is seeking a DevOps Engineering Leader to enhance the deployment of generative AI applications. This role involves optimizing CI/CD pipelines and collaborating with cross-functional teams in a SaaS production environment.
Cisco is seeking a Senior Tools Engineer to lead DevOps efforts in optimizing CI/CD pipelines and enhancing build systems for AI applications. This role requires extensive technical expertise and collaboration with Operations and QA teams.
ServiceNow is seeking a Senior Staff DevOps Engineer to establish the Cloud Analytics & FinOps Engineering Platform. This role involves architecting and operationalizing a hybrid cloud data platform infrastructure across multiple cloud environments.
Piper Companies is seeking a DevOps Leader to oversee cloud-based automation systems and mentor on cloud architecture in McLean, Virginia. This hybrid role involves collaboration across multiple teams to enhance DevOps processes.
Security Risk Advisors is seeking a curious and self-driven DevOps Engineering Generalist Co-op for 2026 in Rochester, NY. The role involves collaborating on real-world projects, automating solutions, and working with a variety of technologies.
First Soft Solutions is seeking a DevOps Engineer with 10-12 years of experience to work on Azure DevOps and related technologies. The role involves managing CI/CD pipelines, troubleshooting, and providing environment support for Java & .NET applications.
Cisco is seeking a DevOps Engineering Leader to enhance the deployment of generative AI applications. This role involves optimizing CI/CD pipelines and collaborating with cross-functional teams in a SaaS production environment.
Cisco is seeking a Senior Tools Engineer to lead DevOps efforts in optimizing CI/CD pipelines and enhancing build systems for AI applications. This role requires extensive technical expertise and collaboration with Operations and QA teams.
Cisco is seeking a Senior Tools Engineer to lead DevOps efforts in optimizing CI/CD pipelines and enhancing build systems for AI applications. This role requires extensive technical expertise and collaboration with Operations and QA teams.