We are looking for a Quality Assurance Manager to lead quality programs for a manufacturing operation in Dallas, Texas. This role will oversee quality systems, guide audit readiness, and strengthen compliance practices across the facility while partnering with cross-functional teams to improve product performance and process consistency. The ideal candidate brings strong leadership, hands-on knowledge of recognized quality standards, and the ability to drive continuous improvement through practical, data-informed decision-making.<br><br>Responsibilities:<br>• Lead the quality function by supervising technicians and related staff, setting priorities, and ensuring daily activities support production and customer expectations.<br>• Establish annual quality objectives that support broader business priorities and translate them into measurable departmental plans.<br>• Administer and sustain certification efforts for key management standards, including ISO 9001, ISO 14001, and ISO 18001, while maintaining compliance with documented quality processes.<br>• Deliver training and guidance that helps employees understand quality procedures, system requirements, and their role in maintaining standards.<br>• Direct investigations related to customer complaints, warranty concerns, returns, and internal nonconformances, ensuring corrective and preventive actions are completed effectively.<br>• Partner with teams across the organization to create, refine, and maintain process documentation, operating procedures, and quality records.<br>• Plan and conduct internal audits, document findings, close out observations, and prepare the organization for external audits and certification reviews.<br>• Develop and monitor supplier quality performance metrics, collaborate with purchasing on scorecards, and build strong working relationships with suppliers to improve results.<br>• Support new product launches and product modifications by confirming that required quality characteristics, controls, and compliance expectations are met.<br>• Provide quality-focused direction to production operations while reinforcing safe, efficient, and consistent manufacturing practices.
<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>