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2 results for Qa Software Tester in Coppell, TX
- Dallas, TX
- remote
- Temporary
- 36 - 41.5 USD / Hourly
- We are looking for a skilled Quality Assurance Tester with expertise in Salesforce environments to join our team on a long-term contract basis in Dallas, Texas. This role primarily involves manual testing, but candidates with a background or strong interest in automation are highly encouraged to apply. You will collaborate with developers, architects, and stakeholders to ensure the delivery of high-quality solutions while contributing to a mission-driven organization.<br><br>Responsibilities:<br>• Conduct thorough manual testing of Salesforce enhancements, fixes, and monthly feature releases.<br>• Validate business requirements and user stories to ensure they meet organizational needs.<br>• Develop, execute, and maintain test cases and regression testing plans.<br>• Collaborate with developers, architects, and product teams to address testing challenges.<br>• Clearly document and communicate issues to both technical and non-technical audiences.<br>• Support data-related testing efforts in coordination with the data team.<br>• Contribute to the improvement of QA processes and adoption of best practices.<br>• Explore opportunities to expand automation testing, particularly within Salesforce environments.<br>• Assist in testing integrations and workflows within the customized Salesforce Health Cloud.<br>• Work closely with various stakeholders to ensure alignment with business goals and technical requirements.
- 2026-03-30T00:00:00Z
- Dallas, TX
- onsite
- Temporary
- 45 - 53 USD / Hourly
- <p><strong>Platform Engineer – Data Science Platform</strong></p><p><strong>13 Week Contract to Hire </strong></p><p><strong>Onsite Hybrid: </strong>Columbus, OH or Dallas, TX or Minneapolis, MN</p><p><strong>Pay: </strong>Available on W2</p><p><strong>Job Summary</strong></p><p>We are seeking an experienced <strong>Platform Engineer</strong> to join a growing Platform Engineering team responsible for supporting and evolving a modern <strong>Data Science platform</strong>. This role focuses on building, managing, and securing cloud-based infrastructure that enables Data Science and AI/ML teams to operate efficiently at scale. The ideal candidate brings strong AWS expertise, hands-on infrastructure automation experience, and the ability to collaborate across technical and business teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support and maintain ongoing <strong>Data Science infrastructure operations</strong></li><li>Design, build, and deploy <strong>AWS environments</strong> using automated <strong>CI/CD pipelines</strong></li><li>Manage and scale large, secure cloud environments to support current and future Data Science initiatives</li><li>Implement, own, and improve the <strong>image management lifecycle process</strong></li><li>Assist with the setup and ongoing management of <strong>AWS accounts</strong> dedicated to the Data Science platform</li><li>Develop and maintain infrastructure pipelines using <strong>CI/CD tools</strong> (e.g., Azure DevOps)</li><li>Build and manage environments using <strong>Infrastructure as Code (IaC)</strong> tools such as <strong>Terraform</strong></li><li>Develop scripts and applications using programming languages such as <strong>Python</strong></li><li>Manage and support database technologies including <strong>Athena, Oracle, MySQL, and PostgreSQL</strong></li><li>Leverage AWS services to enable <strong>Data Lake, Data Science, and AI/ML workloads</strong></li><li>Respond to requests from development and business users, removing technical roadblocks</li><li>Manage secured infrastructure environments, applying security controls and guardrails</li><li>Identify, remediate, and track infrastructure vulnerabilities within defined SLAs</li><li>Maintain audit logs and support compliance-related needs</li><li>Perform system upgrades, patching, and provide <strong>on-call support</strong> as required</li><li>Conduct root cause analysis and knowledge transfer sessions with internal teams</li><li>Collaborate closely with <strong>Network, Database, Infrastructure, and Architecture teams</strong> to align on platform strategy and delivery</li></ul>
- 2026-04-15T00:00:00Z