Platform Engineering Lead - Distributed Systems & K8s Go

Cisco Systems

Atlanta (GA)

Hybrid

USD 152,000 - 222,000

Full time

2 days ago
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Job summary

Cisco Systems is hiring for a high-impact software engineering role on the Enterprise Integrated Systems team. The position is hybrid, blending in-office collaboration with remote work, and invites hands-on work across distributed systems, Kubernetes, and platform engineering.

You will lead architecture and design across multiple product teams, drive scalable software, and mentor engineers while delivering production-quality code in Go and Python, with strong emphasis on reliability and

Qualifications

  • BS in CS/CE with 8+ years of related experience or MS with 6+ years.
  • Proficient in Go and Python with production-quality delivery.
  • Experience designing distributed systems, REST APIs, and microservices.
  • Hands-on with Docker and Kubernetes in production environments.
  • Experience with CI/CD, Git, and observability platforms.

Responsibilities

  • Lead architecture, design, and implementation of platform capabilities across products.
  • Drive scalable, reusable software designs improving quality and reliability.
  • Collaborate with Product Managers and Architects to shape roadmaps.
  • Own subsystems from design through production support and improvements.
  • Mentor engineers and lead technical design discussions.

Skills

Go
Python
Distributed systems
REST APIs
Docker
Kubernetes
CI/CD
Git
Observability
Linux internals
Performance engineering

Education

Bachelor's degree in Computer Science or Computer Engineering
Master's degree in Computer Science or related field

Tools

Splunk
AppDynamics
ThousandEyes
Docker
Kubernetes

Job description

Cisco Systems is hiring for a high-impact software engineering role on the Enterprise Integrated Systems team. The position is hybrid, blending in-office collaboration with remote work, and invites hands-on work across distributed systems, Kubernetes, and platform engineering.

You will lead architecture and design across multiple product teams, drive scalable software, and mentor engineers while delivering production-quality code in Go and Python, with strong emphasis on reliability and

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