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# Software Engineering Technical Leader

- **Company:** Cisco Systems Inc
- **Location:** Widnes, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Continuous Integration, Software Debugging, Networking Basics, OpenStack, PCI Data Security Standards, Software Tools, Prometheus, Software Engineering, Software Vulnerability Management, Test-Driven Development (TDD), Grafana, HybridCloud, Build Management, Containerization, Kubernetes, Information Technology, Terraform, Vulnerability Analysis, Golang
- **Published:** October 22, 2026
- **Apply:** https://www.totaljobs.com/job/engineering-technical-leader/cisco-international-limited-job108218307

## About the Role

* 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.

## Description

* 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.