Senior Cloud Platform Tech Lead—AWS, Kubernetes & AI

Cisco Systems, Inc; San Jose (CA); Hybrid; USD 187,000 - 268,000; Full time

Job summary

Cisco Systems, Inc. in San Jose, CA is hiring a Senior Cloud Engineering Tech Lead to design, build, and operate a cloud platform supporting analytics, automation, and decision-making systems.

The role focuses on AWS-based, secure multi-tenant Kubernetes environments and close collaboration with BizOps, software engineering, security and data teams. The position offers a hybrid work arrangement with total responsibility for cloud infrastructure, networking, deployment pipelines, and platform

Qualifications

• Bachelor’s degree in computer science or computer engineering with 8+ years of related experience, or a master’s degree with 6+ years.
• Extensive experience designing, building, and operating cloud infrastructure, preferably on AWS.
• Experience with infrastructure as code and production Kubernetes, including containerized workloads.
• Proficiency in Python, Go, or JavaScript/TypeScript.

Responsibilities

• Frame the cloud platform behind complex software systems, designing reliable architectures primarily on AWS and secure, multi-tenant Kubernetes environments.
• Automate infrastructure and delivery with Terraform or OpenTofu, CI/CD, Helm, and Argo CD GitOps workflows.
• Build a smooth, dependable developer experience by improving cloud-native networking, deployment tooling, monitoring, and operational support.
• Help bring agentic AI applications into production, with the infrastructure, identity patterns, and security controls they need to run safely.
• Partner with security and engineering teams to strengthen the platform, share practical guidance, and establish clear standards and documentation.

Job description

Cisco Systems, Inc. in San Jose, CA is hiring a Senior Cloud Engineering Tech Lead to design, build, and operate a cloud platform supporting analytics, automation, and decision-making systems.

The role focuses on AWS-based, secure multi-tenant Kubernetes environments and close collaboration with BizOps, software engineering, security and data teams. The position offers a hybrid work arrangement with total responsibility for cloud infrastructure, networking, deployment pipelines, and platform