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# Software Engineer

- **Company:** Cisco Systems, Inc.
- **Location:** Durham, NC, United States
- **Experience:** Experienced
- **Salary:** $128,600.0 - $184,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Python (Programming Language), Secure Coding, Selenium, Software Engineering, Systems Integration, Model-Driven Development, Enterprise Software Applications, Large Language Models, Pytest, Kubernetes, Infrastructure Automation Frameworks, Playwright, Api Management, Cisco, Docker, Microservices
- **Published:** August 29, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3369515262&tx=YT909CTT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in STEM with 5+ years or Master's with 3+ years of software engineering experience.
 * Experience with Python and at least one automation framework/tool such as Playwright, Selenium, or Pytest.
 * Experience in developing with AI - building or integrating AI/ML or generative AI capabilities (for example, LLM APIs, prompt-based workflows, or model-driven features) into software, tooling, or test automation.
 * Experience integrating automated tests into CI/CD pipelines.
 * Experience with at least one cloud platform: AWS, GCP, or Azure., * Experience testing enterprise infrastructure, networking, or platform products (including Cisco technologies or comparable enterprise technologies).
 * Experience scaling or improving automation frameworks.
 * Familiarity with microservices architectures and API testing best practices.
 * Exposure to Kubernetes/Docker or infrastructure automation tools.

## Description

Own delivery of small-to-medium features and may lead limited-complexity projects that execute the defined software engineering roadmap. Convert customer and product needs into high-quality technical designs, clean and secure code, automated tests, and measurable release outcomes with minimal guidance. Coordinate requirements, dependencies, timelines, and remediation plans with product managers, architects, security, operations, and other engineering teams. Troubleshoot complex production issues, participate in on-call rotations where applicable, lead postmortems and root cause analysis, and improve scale, reliability, performance, and velocity. Serve as a resource across multiple functional components by reviewing code, sharing technical knowledge, and mentoring peers or engineering interns.


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