Remote-Eligible Software Engineering Tech Lead, Cloud

Cisco Systems; Topeka (KS); Hybrid; USD 152,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with Cisco matching

Paid parental leave

Disability coverage

Life insurance

Job summary

Cisco Systems is seeking a senior engineer for the Automation and Configuration Management team in a hybrid role in the United States. You will set the long-term architectural direction, drive investments, and oversee critical projects spanning configuration delivery and fleet management.

You will mentor engineers, enforce code quality and observability standards, and own production reliability during major incidents.

Qualifications

• Bachelor's degree with 8+ years of related experience, or higher degrees with proportional experience.
• Fluency in Go and/or Python for building large-scale production systems.
• Experience designing resilient distributed systems in cloud environments such as AWS, GCP, Azure, or GovCloud.
• Experience with configuration and infrastructure as code tools at scale.
• Proven ability to lead major technical initiatives beyond the immediate team.

Responsibilities

• Define long-term architecture for ACM configuration platform.
• Lead complex projects across configuration delivery and platform reliability.
• Set standards for code quality, observability, and operational excellence.
• Mentor engineers through reviews and coaching.
• Own production reliability during major incidents.

Skills

Go

Python

Leadership

Cloud architecture

Education

Bachelor's degree +8 years equivalent

Tools

Puppet

Terraform

Ansible

Job description

Cisco Systems is seeking a senior engineer for the Automation and Configuration Management team in a hybrid role in the United States. You will set the long-term architectural direction, drive investments, and oversee critical projects spanning configuration delivery and fleet management.

You will mentor engineers, enforce code quality and observability standards, and own production reliability during major incidents.