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# Software Engineering Technical Leader (Remote)

- **Company:** Cisco Systems, Inc.
- **Location:** Nashville, TN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $177,600.0 - $257,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Continuous Integration, Software Engineering, Software Systems, Software Testing Automation Framework, Enterprise Software Applications, GitHub Copilot, Large Language Models, Information Technology, Cisco
- **Published:** August 19, 2026
- **Apply:** https://www.juju.com/job/00000000gnvnoz

## About the Role

+ 12+ years of relevant technical experience with a Bachelor's degree in Computer Science, Engineering, or a related field

 + Experience building and delivering enterprise software solutions

 + Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot) integrated into production workflows

 + Experience designing, developing, and maintaining engineering harnesses (e.g., test automation frameworks, CI/CD infrastructure)

 + Experience optimizing performance and cost-efficiency in AI/LLM-enabled software systems

Preferred Qualifications

 + Demonstrated leadership on AI-Native engineering teams building or replacing enterprise-scale platforms

 + Track record mentoring engineers and leading multi-functional, matrixed technical teams

 + Experience collaborating with partners from operations, strategy, and product to deliver impactful business solutions

 + Ability to learn, evaluate, and scale emerging AI engineering tools and practices

 + Strong communication, influence, and partner management skills in a fast-paced, ambiguous environment

## Description

As a Software Engineering Technical Leader, you will drive the architecture and delivery of AI-powered solutions that modernize internal platforms and deliver measurable business impact. You will lead the adoption of AI-native best practices, mentor engineers, and collaborate with partners to ensure solutions align with Cisco's strategic objectives.

 + Architect, develop, and scale AI-enabled platforms that replace legacy enterprise tools and drive operational efficiencies

 + Lead and mentor engineers, embedding AI-assisted development practices to elevate code quality and delivery velocity

 + Collaborate with multi-functional teams to align technical solutions with business and operational goals

 + Evaluate and integrate emerging AI tools, frameworks, and best practices into the engineering workflow

 + Ensure the team's outputs achieve tangible business outcomes, including cost savings and improved productivity


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