Top Senior Level Front-End Developer Jobs in Dallas, TX

As a Design Engineer at Brilliant, you will build polished frontend user experiences, contribute to team culture, and ensure a balance between speed and quality while focusing on user impact. You will collaborate with cross-functional teams to enhance developer and user experience.

The QA Lead will implement and standardize QA processes, manage internal and external audits, oversee QA teams' daily activities, develop QA metrics, and ensure compliance with industry standards. They will also coordinate project resource allocation and maintain detailed test documentation.

The Engineering Manager will lead a distributed team focused on developing Abstract Wikipedia and Wikifunctions. Responsibilities include project management, team coaching, risk management, and ensuring productivity while promoting a collaborative and inclusive culture in the team.

The Sr. Software Engineer will contribute to sprint commitments, collaborate with product teams to clarify design and implementation, and work with other engineers to determine architecture solutions. The role involves timely completion of projects while meeting goals.

The Staff Software Engineer will lead the design and architecture of complex systems, collaborate with executive leadership, mentor engineering teams, and enforce best coding practices. Responsibilities include utilizing AWS technologies, driving technical innovation, and establishing a DevOps-centric culture to enhance healthcare technology solutions.

The Principal Salesforce Architect will lead enterprise systems transformation to support Go-To-Market strategy by optimizing systems for Sales, Marketing, Finance, and Customer Success. Responsibilities include translating business needs, conducting data manipulation, ensuring Salesforce security, and implementing large-scale system integrations while driving technology transformation initiatives.

As a Consulting Engineer, you will contribute to customer implementations across all phases of the ML Ops lifecycle, deliver training, and collaborate with product teams to influence the product roadmap, while potentially traveling for on-site customer needs.