QA Automation Engineer

About the Role

The candidate will be working on Cisco's Quality Command Center (QCC) applications and supporting systems, focusing on QA automation, AI-assisted testing, and quality transformation.

Responsibilities

• Perform end-to-end integration testing across application components.
• Validate UI, API, database, and system-level interactions.
• Execute regression and release validation testing.
• Support deployment verification activities.
• Perform final QA sign-off prior to production release.
• Validate successful deployment of applications into target environments.
• Verify application functionality across development, QA, staging, and production-like environments.
• Validate build and deployment artifacts through Jenkins pipelines.
• Support troubleshooting of deployment and post-release issues.

Technical Environment & Tools

Hands-on experience or strong familiarity with the following technologies and tools:

• Operating Systems & Development Environment: Linux, Windows, Python Virtual Environments (venv), Shell/Command Line Operations
• Development & Collaboration Tools: Git, BitBucket, Jira, Jenkins, GitHub
• Databases & Data Platforms: Snowflake, Microsoft SQL Server (MS-SQL), MySQL, Cassandra
• AI & Productivity Tools: Cursor, GitHub Copilot, MCP (Model Context Protocol) integrations, AI-assisted development and test automation tools

Skills

• Must-Have Skills:
  • Playwright Automation
  • Python & PyTest
  • API Testing
  • UI Testing
  • Database Testing
  • Snowflake
  • MS-SQL / MySQL
  • Jenkins
  • Jira
  • Git / BitBucket / GitHub
  • Cassandra (preferred)
  • AI Tools (Copilot, Cursor, MCPs)
  • Defect Triage & Debugging
  • Integration Testing
  • Application Deployment Validation
  • Linux & Windows Environment Exposure
• Collaboration & Work Model:
  • Global Team Collaboration & Flexible Work Timings
  • Willingness to provide partial overlap with global teams
  • Strong communication and proactive engagement skills

Work Location & Collaboration Expectations

The project operates across multiple geographies and time zones, with team members collaborating with stakeholders and engineering teams located in the US, Canada, India, and other global locations. Candidates must demonstrate flexibility in work schedules to accommodate critical meetings, stand-ups, sprint ceremonies, production support activities, and cross-functional collaboration.