Remote- QA Manager

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Long Term

Skills

Sprint
OMS
Sterling
SOM
RCP

Job Details

Job Title: Manager QA (OMS)

Top 3 Skills Needed:

  • This particular role is to manage Sterling OMS, Fulfilment, and TMA PODs.
  • Hands-on expertise with Sterling OMS required
  • This person has to work closely with clients and collaborate/work with offshore to ensure Sprint testing, E2E testing, and Downstream testing are on track as per the commitments.
  • Supply Chain testing experience (Sterling Web SOM, Mobile SOM, RCP SOM, Fulfilment and Resa/Tlog)
  • Retail domain experience

Job Summary:

Manager QE to drive test automation and quality strategy for a personalization project in the retail domain. The role requires strong automation skills, experience with data-driven testing, and the ability to work with large datasets in the background. Backend testing experience is preferable.

Key Responsibilities:

  • Lead test automation strategy for personalization workflows. Responsible for entire QE for the program. Has to work with offshore and Clients.
  • Develop and maintain automated test suites for APIs, UI, and data validation.
  • Ensure data integrity and validation in personalization models.
  • Collaborate with data engineers, developers, and product teams to define quality standards.
  • Exposure around performance and scalability tests for high-volume data scenarios.
  • Drive continuous testing and CI/CD pipeline integration.

Required Skills & Experience:

  • 7+ years in Quality Engineering with expertise in test automation.
  • Experience in retail/e-commerce domain, preferably with personalization.
  • Strong skills in Selenium, Cypress or similar automation tools.
  • API testing experience using Postman, Rest Assured, or similar frameworks.
  • Hands-on experience with SQL, data validation, and working with large datasets.
  • Familiarity with Python, Java, or JavaScript for automation scripting.
  • Experience in Big Data, Spark, or cloud-based data platforms (AWS, Google Cloud Platform, or Azure) is a plus. One of this.
  • Strong understanding of CI/CD pipelines and DevOps practices.

Nice to have:

  • Experience with A/B testing and AI model validation
  • Knowledge of data governance and privacy standards in Retail
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