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Cornelis Networks

Senior Software QA/CI Automation Lead

Cornelis Networks

Senior Software QA engineer leading CI test automation efforts for high-performance networking products at Cornelis Networks. Collaborating with engineering teams to improve automated testing strategies and pipeline reliability.

Posted 6/8/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSeniorWebsite

About the role

Key responsibilities & impact
  • Lead Automated QA
  • Own the design, implementation, and continuous improvement of automated QA for embedded system, integration, network, and software system testing.
  • Drive Test Infrastructure
  • Drive the architecture and feature set of the CI test infrastructure, including agentic requirements, hardware requirements, test harnesses, fixtures, reporting utilities, and framework extensions.
  • Build Reliable Regression Coverage
  • Convert cross-team tests and recurring debug workflows into automated regression suites that provide reliable quality signal across products and validation cycles.
  • Improve CI/CD Pipeline Quality
  • Configure, maintain, and improve CI/CD systems; monitor results, reduce flaky tests, improve signal-to-noise ratio, and strengthen pipeline reliability.
  • Own Agentic Failure Triage and Debug Workflows
  • Lead CI failure triage by specifying and developing AI agents(s) that can distinguish infrastructure issues, test defects, configuration problems, and product defects, then driving issues through resolution.
  • Define Quality Gates and Reporting
  • Partner with software, systems, network, and product engineering teams to define validation coverage, release-readiness criteria, dashboards, status reporting, and actionable CI metrics.
  • Drive Cross-Team Validation Alignment
  • Collaborate across engineering teams to align validation plans with key feature delivery dates, product milestones, defect priorities, and release commitments.
  • Champion AI-Assisted Development
  • Evaluate and promote AI-assisted development tools for coding, debugging, test reviews, documentation, and workflow improvements that increase development velocity and code quality.
  • Continuously Improve Validation Practices
  • Identify gaps in automation coverage, CI infrastructure, documentation, and validation processes; propose practical solutions and drive improvements through completion.

Requirements

What you’ll need
  • B.S. or M.S. degree in Computer Science, Engineering, Technology, or a related discipline, or equivalent practical experience.
  • 8+ years of experience in software QA, system validation, test automation, CI automation, integration testing, or related engineering roles.
  • Hands-on experience building, maintaining, or improving CI/CD pipelines.
  • Experience leading automated regression strategy, CI test development, failure triage, or pipeline quality improvement efforts.
  • Experience with system-level or integration-level software validation.
  • Strong debugging and troubleshooting skills across software, system, network, configuration, infrastructure, or test automation layers.
  • Working knowledge of version control software such as Git.
  • Excellent communication, organization, and time management skills.
  • Experience collaborating across engineering teams to turn requirements, defects, and debug workflows into automated validation coverage.

Benefits

Comp & perks
  • equity
  • cash
  • incentives
  • health and retirement benefits
  • medical, dental, and vision coverage
  • disability and life insurance
  • dependent care flexible spending account
  • accidental injury insurance
  • pet insurance
  • generous paid holidays
  • 401(k) with company match
  • Open Time Off (OTO)
  • sick time
  • bonding leave
  • pregnancy disability leave

ATS Keywords

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Hard Skills & Tools
automated QAtest automationCI/CD pipelinesintegration testingdebuggingtroubleshootingregression testingvalidation coverageAI-assisted developmenttest infrastructure
Soft Skills
communicationorganizationtime managementcollaborationleadership
Certifications
B.S. degree in Computer ScienceM.S. degree in EngineeringTechnology degree