Software Engineering Technical Leader

Meet the Team

The CX Engineering team builds and operates the next generation of AI empowered Cisco's Customer Experience (CX) automation, orchestration and observability platform. We develop cloud-native, Kubernetes-based infrastructure that powers network automation, service provisioning, and closed-loop automation across Cisco's enterprise customer base. Our platform spans hybrid cloud deployments (on-premises and SaaS-connected), multi-hypervisor infrastructure (vSphere, Hyper-V, KVM), and integrates with Cisco's portfolio of network management solutions.

You'll join a team of architects, engineers, and automation specialists working on complex distributed systems that combine microservices architecture, infrastructure-as-code, and sophisticated CI/CD pipelines. We value technical excellence, automation-first thinking, and the ability to architect solutions that scale across diverse enterprise environments.

Your Impact

As a Software Architect, you will design and build critical components of Cisco's CX platform automation and observability infrastructure. You'll architect solutions spanning containerized microservices, multi-cloud orchestration, and hybrid deployment models while mentoring development teams on best practices.

Key Responsibilities:

• Architect and design cloud-native microservices platforms using Kubernetes, API gateways (APISIX), and service mesh patterns for large-scale enterprise deployments

• Build infrastructure-as-code solutions using Terraform and Ansible to orchestrate multi-hypervisor environments (vSphere, Hyper-V, KVM) across hybrid cloud architectures

• Proficiency in prompt engineering, AI-assisted coding tools and integrating LLMs/SLMs and APIs into applications.

• Design and implement CI/CD pipelines using GitHub Actions with sophisticated workflow orchestration, artifact management, and multi-stage deployment automation

• Develop Python-based automation frameworks for test orchestration, deployment management, and infrastructure lifecycle automation with comprehensive error handling and observability