Senior Test Lead - Python, Selenium
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026.
Job Summary
Senior QA Automation Engineer - Python, Playwright, AI-Assisted Testing & Quality Transformation (QCC Applications)
Technical Environment & Tools
The candidate will be working on Cisco's Quality Command Center (QCC) applications and supporting systems. 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
The candidate should be comfortable configuring, integrating, and utilizing these tools as part of day-to-day testing, automation, debugging, and release activities.
Additional Responsibilities
Application Integration & Release Validation
- 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.
Environment & Release Management
- 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.
Work Location & Collaboration Expectations
Global Working Model
- The project operates across multiple geographies and time zones.
- Team members collaborate 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.
- Willingness to provide partial overlap with global teams is required.
- Strong communication and proactive engagement skills are essential in a geographically distributed environment.
Key Responsibilities
Senior QA Automation Engineer - Python, Playwright, AI-Assisted Testing & Quality Transformation (QCC Applications)
Technical Environment & Tools
The candidate will be working on Cisco's Quality Command Center (QCC) applications and supporting systems. 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
The candidate should be comfortable configuring, integrating, and utilizing these tools as part of day-to-day testing, automation, debugging, and release activities.
Additional Responsibilities
Application Integration & Release Validation
- 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.
Environment & Release Management
- 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.
Work Location & Collaboration Expectations
Global Working Model
- The project operates across multiple geographies and time zones.
- Team members collaborate 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.
- Willingness to provide partial overlap with global teams is required.
- Strong communication and proactive engagement skills are essential in a geographically distributed environment.
Skill Requirements
Must-Have Skills Checklist
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
Global Team Collaboration & Flexible Work Timings