Cisco

Cloud engineer

In short

This role is on Cisco's Common Platform Services team, building and operating the Kubernetes-based cloud-native platform underlying Cisco's SaaS offerings. It requires 4+ years of software development or cloud/platform engineering experience, strong Go or Python skills, and hands-on experience with Kubernetes, Infrastructure as Code (Terraform), a major public cloud (AWS/Azure/GCP), and observability tools. The job is onsite in London and includes on-call rotations and incident response duties.

About 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 distributed 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.
Responsibilities
•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.
•Develop 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.
Requirements
•4+ years of experience in software development or cloud/platform engineering roles.
•Strong proficiency in Go (Golang) or Python.
•Experience with Kubernetes and cloud-native technologies.
•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).
Nice to have
•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.
Conditions
No conditions stated in the posting.

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