Kubernetes DevOps Engineer: AI-Driven Microservices

Cisco Systems, Inc.; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

Cisco Systems, Inc. in London is seeking engineers to design, implement, and deliver Kubernetes-based microservices configurations for a world-class collaboration platform.

You will work within a hybrid team, collaborating across DevOps and AI-enabled tooling to accelerate delivery while maintaining quality and security. The role emphasizes Kubernetes, GitOps (Argo CD), and scalable config automation, with a focus on reliability, observability, and continuous improvement in a fast-paced

Qualifications

• Bachelor's degree in an analytical subject (e.g. Computer Science, Engineering).
• 3+ years demonstrated experience in software development.
• Strong Kubernetes + microservices experience.
• Experience with GitOps (CI/CD).

Responsibilities

• Own design, codification, testing and delivery of Kubernetes-based microservices configurations.
• Drive operational excellence in a GitOps model using Argo CD; support canary releases and validation gates.
• Apply AI-assisted tools to accelerate configuration-as-code development and optimization.
• Address complex challenges across configuration, policy, observability, and data services using Prometheus and Grafana.
• Own end-to-end configuration quality with governance via Open Policy Agent; ensure secure, compliant deployments.
• Support a self-service platform using Backstage and declarative configs for teams to deploy.

Skills

Kubernetes

GitOps

CI/CD

Education

Bachelor's degree in an analytical subject

Tools

Argo CD

Job description

Cisco Systems, Inc. in London is seeking engineers to design, implement, and deliver Kubernetes-based microservices configurations for a world-class collaboration platform.

You will work within a hybrid team, collaborating across DevOps and AI-enabled tooling to accelerate delivery while maintaining quality and security. The role emphasizes Kubernetes, GitOps (Argo CD), and scalable config automation, with a focus on reliability, observability, and continuous improvement in a fast-paced