Remote CI/CD Test Automation Engineer – Networking

CodiLime

United States

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Flexible working hours
Remote/hybrid options
Training budget
Hands-on onboarding

Job summary

CodiLime, a leading software and network engineering firm, is building a global CI/CD test automation platform for a flagship router product. You will design, develop, and optimize test frameworks, automate provisioning, traffic generation, diagnostics, and regression testing using Python, pytest, PTF, sonic-mgmt, and Ansible.

You will own weekly regression runs and triage failures in a large-scale environment.

Qualifications

  • Strong Python programming with test automation experience.
  • Proficient in pytest and CI/CD pipelines.
  • Experience with network test tools and routing knowledge is a plus.

Responsibilities

  • Design, build, and maintain CI/CD test automation pipelines for pre-commit PR testing and weekly regressions.
  • Automate environment provisioning, traffic generation, diagnostics, and regression testing across testbeds.
  • Debug failed runs by reading logs and distinguishing bugs from environment issues, documenting defects.
  • Collaborate with development teams to translate features into test coverage.
  • Extend test automation as new routing features are delivered.
  • Leverage AI tools to speed up scripting, log analysis, and root cause identification.
  • Coordinate issue resolution with suite owners and Dev/Test engineers.

Skills

Python
pytest
CI/CD
Ansible
sonic-mgmt
Docker
Linux
Git
Networking basics
AI tooling

Tools

PTF
Docker
Ansible

Job description

CodiLime, a leading software and network engineering firm, is building a global CI/CD test automation platform for a flagship router product. You will design, develop, and optimize test frameworks, automate provisioning, traffic generation, diagnostics, and regression testing using Python, pytest, PTF, sonic-mgmt, and Ansible.

You will own weekly regression runs and triage failures in a large-scale environment.

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