Senior Test Lead - Python, Selenium
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Role details
Tech stack
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Job description
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., * 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.
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Strong communication and proactive engagement skills are essential in a geographically distributed environment., Senior QA Automation Engineer - Python, Playwright, AI-Assisted Testing & Quality Transformation (QCC Applications) Technical Environment & Tools The candidate will be working on Ciscoβs 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., * 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
Requirements
The candidate will be working on Ciscoβs 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
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