Senior Test Lead - Python, Selenium (US)
Role Overview
Senior QA Automation Engineer – Python, Playwright, AI-Assisted Testing & Quality Transformation (QCC Applications)
Full Job Posting
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.
- Must-Have Skills Checklist
- ✅ Playwright Automation
- ✅ Python & PyTest
- ✅ API Testing
- ✅ UI Testing
- ✅ Database Testing
- ✅ MS-SQL / MySQL
- ✅ 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
- Other Requirements
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
About HCL Technologies
HCL Technologies is a global IT services and consulting company offering digital, engineering, cloud, and AI solutions. Headquartered in Noida, India, it serves clients across industries in over 60 countries.
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