P1 - GP - QA Manager

Atlas Systems•East Brunswick Township, NJ

1d•Onsite

About The Position

Atlas Systems Inc. is seeking a hands-on QA Manager to lead a small team of onshore and nearshore QA testers responsible for testing, automating, and documenting internal back-office web applications and supporting Databricks notebooks. The role combines QA leadership with direct contributions to testing and automation. The manager will establish QA strategy and standards, mentor the team, and collaborate closely with developers and business stakeholders in an agile environment. The position is listed as onsite in New Jersey, USA, with work timing aligned to IST hours and flexibility to collaborate with customer teams as required. The engagement may be long-term contract or full-time. The posting also describes a typical experience profile of 10+ years in software testing, team management, hands-on testing, automation, and AI-assisted testing. The applications are hosted in Azure. The technology stack includes Python, Pytest, Requests (Swagger/OpenAPI), Playwright, Qase, Databricks (Unity Catalog, Jobs, Pipelines using Notebook Dashboards), Power BI, Azure, and Claude Code.

Requirements

10+ years of QA experience, including 3+ years in a hands-on QA lead or manager role.
Proven experience mentoring and growing a QA team.
Strong experience with manual and automated API, UI, and database testing.
Proficiency in Python and Pytest.
Experience with Playwright for UI automation.
Working knowledge of SQL; Spark SQL is a plus.
Experience with data validation or ETL/pipeline testing, including writing SQL-based reconciliation and data quality checks.
Experience testing in cloud environments; Azure is preferred.
Experience with a test management tool; Qase is preferred.
Experience working in an agile environment.
Strong process discipline and project management skills.
Excellent verbal and written communication skills, with a customer-service mindset toward business users.

Nice To Haves

Experience with Databricks Data Quality framework, automated testing and ELT/transformation testing frameworks, and Databricks Automation Bundles.
Experience testing or validating Power BI reports.
Experience with CI/CD pipelines, such as GitHub or Azure DevOps.
Experience with performance testing tools.
Experience managing distributed or nearshore teams.
Familiarity with AI-assisted development tools such as Claude Code.
Knowledge of Spark SQL.

Responsibilities

Lead, mentor, and develop onshore and nearshore QA testers, including work planning, prioritization, and participation in hiring.
Define and implement QA strategy, processes, and best practices across new and existing systems.
Test, automate, and document internal back-office web applications hosted in Azure and the Databricks notebooks that support them.
Ensure web applications and Power BI reports function correctly across desktop and mobile browsers.
Test and validate Databricks notebooks, jobs, and pipelines, including data transformations and data quality automations; build tests for jobs and pipelines.
Design and automate data validation tests across Databricks, including source-to-target reconciliation, data quality checks, Unity Catalog, Databricks dashboards, and verification of Power BI report figures against underlying data.
Review team members’ test code, ensure automation follows coding standards, and optimize new and existing test suites.
Investigate and profile application performance issues, and coordinate optimization efforts with development.
Work with business users to understand their processes and propose technical and non-technical solutions to business problems.
Track and report quality metrics, test coverage, and release readiness.
Stay current on QA tools and practices, including AI-assisted testing.