Platform Tech Lead - Distributed Systems & Kubernetes

Cisco Systems; Austin (TX); Hybrid; USD 152,000 - 222,000; Full time

Job summary

Cisco Systems in Austin, TX is seeking a senior platform engineer to lead architecture and develop enterprise-scale platform capabilities across multiple products. You'll work in a hybrid role, balancing in-office collaboration with remote work while delivering production-quality software.

Ideal candidates have deep experience in Go, Python, distributed systems, REST APIs, and containerized apps with Docker/Kubernetes, plus CI/CD and observability tooling.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
• Experience designing distributed systems, REST APIs and microservices.
• Proficiency in Go and Python with production-quality delivery.
• Experience with Docker, Kubernetes, CI/CD, and observability tooling.

Responsibilities

• Lead architecture, design, and implementation of platform capabilities across products and teams.
• Drive scalable, reusable software designs to improve reliability and customer experience.
• Partner with PMs, Architects, and Dev teams to shape technical roadmaps.
• Own subsystems through design, production support, and continuous improvement.
• Promote engineering excellence via design reviews, testing, observability, and CI/CD.
• Mentor engineers and elevate technical leadership across teams.
• Investigate performance issues and optimize for enterprise scale.
• Evaluate new technologies to improve scalability and security.

Skills

Go

Python

REST APIs

Distributed systems

Docker

Kubernetes

CI/CD

Observability

Linux

Leadership

Education

Bachelor's or Master's in CS/CE

Tools

Docker

Kubernetes

Git

Terraform

CI/CD tooling

Job description

Cisco Systems in Austin, TX is seeking a senior platform engineer to lead architecture and develop enterprise-scale platform capabilities across multiple products. You'll work in a hybrid role, balancing in-office collaboration with remote work while delivering production-quality software.

Ideal candidates have deep experience in Go, Python, distributed systems, REST APIs, and containerized apps with Docker/Kubernetes, plus CI/CD and observability tooling.