Level

Cisco

Software Engineering Technical Leader

AI in this role

Meet the Team

The Cisco Common Platform Services (CCPS) organization is transforming how Cisco delivers software-as-a-service by providing a modern, consistent, and secure platform for all! With demonstrated ability, our global team brings innovative methodologies to building and managing hybrid cloud environments. We focus on platform management services, continuously evaluating infrastructure and operations to ensure efficiency and precision. Our expertise in IaaS and PaaS, combined with repeatable and portable delivery models, enables the rapid and secure deployment of applications.

 

Within CCPS, the Cloud Software & Solutions (CSS) group designs and develops OpenStack and Kubernetes platform solutions with an emphasis on quality, stability, simplification, user experience, scalability, performance, and portability. We are looking for a Software Engineer to join our team and build scalable cloud-native applications and services.

 

Your Impact

  • Design and build foundational capabilities of the cloud‑native ecosystem, with a focus on Kubernetes layers and the underlying infrastructure.
  • Develop and maintain automation and tooling for Kubernetes cluster lifecycle management, configuration, and upgrades.
  • Create and enhance platform components that support Kubernetes networking, storage, security, and resource management.
  • Collaborate closely with SRE, security, networking and application teams to deliver robust and scalable platform capabilities.
  • Leverage AI‑assisted engineering tools to improve productivity, code quality, and troubleshooting efficiency.
  • Participate in on‑call rotations, incident response, and post‑incident reviews to ensure platform reliability.

 

Minimum Qualifications

  • BS or MS in Computer Science or a related field, or equivalent practical experience.
  • 10+ years of experience in software development or cloud/platform engineering roles.
  • Strong proficiency in Go (Golang).
  • Hands‑on experience with Kubernetes and cloud‑native technologies.
  • Solid understanding of networking fundamentals.
  • Strong debugging and problem‑solving skills in large‑scale environments.
  • Experience with Infrastructure as Code and automation tools (e.g., Terraform).
  • Experience with at least one major public cloud platform (AWS, Azure, or GCP).
  • Experience using AI‑assisted tools to improve engineering efficiency and quality.
  • Experience with observability tools (Prometheus, Grafana, OpenTelemetry).

 

Preferred Qualifications

  • Experience with large‑scale or multi‑tenant Kubernetes clusters.
  • Familiarity with OpenStack in private or hybrid cloud environments.
  • Experience with testing frameworks and test‑driven development practices.
  • Understanding security scanning, vulnerability management, and compliance frameworks (e.g., SOC 2, PCI‑DSS, GDPR).
  • Experience with CI/CD, GitOps, or developer platform enablement.

 

CollabHiring

 

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.

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. 

How we rate this

Software Engineering Technical Leader at Cisco rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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