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Senior Test Lead - Python, Selenium (US)

HCL Technologies
USA
Senior
Onsite
Discovered 4 days ago

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

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