Sr QE Automation Lead (LATAM)

Insight Global; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Insight Global in Seattle is seeking an experienced Senior Quality Engineering Leader to establish and drive QA, automation, and proactive monitoring across enterprise systems and data platforms.

You will build scalable test automation, reduce production defects, and lead Watch Tower monitoring initiatives, partnering with Product Management, Engineering, Data teams, and Operations to embed quality throughout the software lifecycle.

Qualifications

• 7+ years of Quality Engineering, QA Automation, or Software Testing experience.
• Expertise building and scaling automated test frameworks (Playwright, Selenium, Cypress, Postman/Newman, or other enterprise testing tools).
• Strong programming skills in JavaScript, TypeScript, Python, or similar.
• Experience testing enterprise business applications, APIs, integrations, and data platforms.
• Proven ability to develop test strategies, perform risk-based testing, test data management, perform defect lifecycle management, automate quality controls, perform root cause analysis, and integrate testing into CI/CD pipelines.

Responsibilities

• Define and execute the overall quality strategy across BTE products, platforms, integrations, and data solutions.
• Design, build, and maintain automated testing frameworks for web applications, APIs, integrations, and data validation processes.
• Lead automation efforts for functional, regression, smoke, integration, and end-to-end testing.
• Establish quality standards, testing best practices, and governance processes across delivery teams.
• Partner with Product Managers and Engineering teams to ensure quality is embedded throughout the software development lifecycle.
• Develop automated validation frameworks for data quality, reconciliation, and reporting accuracy.
• Lead quality initiatives associated with the Watch Tower monitoring program, including: Data quality monitoring, Integration health monitoring, Business process validation, Exception detection and alerting, Trend analysis and root cause identification.
• Collaborate with Data Engineering teams to validate data pipelines, transformations, and reporting outputs.
• Identify quality risks early and implement mitigation strategies before production releases.
• Analyze incidents and production issues to drive continuous improvement and preventative controls.
• Integrate testing and quality controls into CI/CD pipelines.
• Develop dashboards, metrics, and reporting to measure product quality, release readiness, defect trends, and system health.
• Mentor team members and help establish a quality-first culture across the organization.

Skills

Quality Engineering

QA Automation

Test Automation

JavaScript/TypeScript

Python

CI/CD

Playwright/Selenium/Cypress

Data Quality

Data Pipelines

API Testing

Monitoring

Git

Leadership

Tools

Playwright

Selenium

Cypress

Postman/Newman

Git

Salesforce

MuleSoft

Snowflake

Informatica

Adobe

Job description

Job Description

Business Technology Enablement (BTE) is seeking an experienced Senior Quality Engineering Leader to establish and drive quality assurance, automation, and proactive monitoring practices across our enterprise business systems and data platforms.

This role will be responsible for developing and executing a comprehensive quality strategy that spans customer-facing applications, CRM platforms, integrations, data pipelines, reporting solutions, and enterprise workflows. The ideal candidate is a hands‑on quality leader who can build scalable test automation frameworks, improve release confidence, and champion a proactive approach to identifying and preventing business‑impacting issues.

A key responsibility will be supporting and evolving our Watch Tower quality and monitoring program, which focuses on detecting data quality issues, integration failures, process breakdowns, and operational anomalies before they impact customers, employees, or business operations. The successful candidate will work closely with Product Management, Engineering, Data Engineering, QA, Business Stakeholders, and Operations teams to drive a culture of quality across the organization.

Success in this role will be measured by the ability to reduce production defects and business‑impacting incidents, increase automated test coverage across critical business processes, and improve overall release quality and deployment confidence. The individual will be expected to enhance visibility into data quality, system health, and integration performance through Watch Tower monitoring, enabling faster identification and resolution of issues. Ultimately, success will be reflected in greater stakeholder confidence in the accuracy of data, reliability of reporting, and stability of enterprise platforms and business systems.

Key Responsibilities

• Define and execute the overall quality strategy across BTE products, platforms, integrations, and data solutions.
• Design, build, and maintain automated testing frameworks for web applications, APIs, integrations, and data validation processes.
• Lead automation efforts for functional, regression, smoke, integration, and end‑to‑end testing.
• Establish quality standards, testing best practices, and governance processes across delivery teams.
• Partner with Product Managers and Engineering teams to ensure quality is embedded throughout the software development lifecycle.
• Develop automated validation frameworks for data quality, reconciliation, and reporting accuracy.
• Lead quality initiatives associated with the Watch Tower monitoring program, including:
  • Data quality monitoring
  • Integration health monitoring
  • Business process validation
  • Exception detection and alerting
  • Trend analysis and root cause identification
• Collaborate with Data Engineering teams to validate data pipelines, transformations, and reporting outputs.
• Identify quality risks early and implement mitigation strategies before production releases.
• Analyze incidents and production issues to drive continuous improvement and preventative controls.
• Integrate testing and quality controls into CI/CD pipelines.
• Develop dashboards, metrics, and reporting to measure product quality, release readiness, defect trends, and system health.
• Mentor team members and help establish a quality‑first culture across the organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 7+ years of Quality Engineering, QA Automation, or Software Testing experience.
• Expertise building and scaling automated test frameworks (Playwright, Selenium, Cypress, Postman/Newman, or other enterprise testing tools, etc.).
• Strong programming skills in JavaScript, TypeScript, Python, or similar.
• Experience testing enterprise business applications, APIs, integrations, and data platforms.
• Proven ability to develop test strategies, perform risk‑based testing, test data management, perform defect lifecycle management, automate quality controls, perform root cause analysis, and integrate testing into CI/CD pipelines.
• Experience validating Salesforce, MuleSoft, Snowflake, Informatica, Adobe, data pipelines, ETL/ELT processes, and reporting solutions.
• Understanding of data quality, reconciliation, monitoring, and exception management.
• Experience creating dashboards, quality metrics, and automated monitoring for data and integration health.
• Ability to design automated controls that detect:
  • Missing or incomplete data
  • Data mismatches
  • Integration failures
  • Business process anomalies
  • Reporting discrepancies
• Proficiency with Git, Agile methodologies, and leading quality initiatives across cross‑functional teams.
• Strong communication, stakeholder management, problem‑solving, and continuous improvement mindset.
• Previous lead experience
• Experience supporting CRM, customer experience, or enterprise business platforms.
• Strong API testing and integration validation experience.
• Experience with cloud data platforms, data warehouses, and analytics environments.
• Familiarity with monitoring, observability, and alerting tools.
• Experience supporting digital transformation initiatives.
• Proven ability to lead quality programs across multiple teams.
• Understanding of enterprise CRM, customer data, and operational systems.