Description
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.