Top Remote Senior Level QA Engineer Jobs in Dallas, TX

As a Backend Engineer, you will architect and maintain backend systems for VALR, ensuring scalability and reliability. Your role includes developing Kotlin-based services, implementing APIs, managing cloud infrastructure, and collaborating with teams to enhance platform features while adhering to coding standards.

The Principal Architect at Liatrio is a senior-level role responsible for leading technology strategy, delivering enterprise architecture solutions, and serving as a trusted advisor to clients. This position involves building client relationships, guiding technical engagement success, and mentoring team members. Extensive experience in DevOps, architectural design, and collaboration with C-suite executives is essential.

The Senior Frontend Engineer will contribute to building Givebutter's products, perform code reviews, collaborate with design and product teams, manage bugs, document processes, and ensure adherence to coding standards while mentoring team members.

Lead QA efforts for FDA project compliance, manage QA processes, oversee QA team, develop test plans and procedures, conduct audits, and ensure adherence to quality standards and FDA regulations.

The Technical Solution Architect will oversee and deliver Salesforce solutions as a trusted advisor and mentor, conducting research, creating prototypes, and refining backlogs. Responsibilities include managing the design, deployment, and quality assurance of solutions, along with ensuring stakeholder alignment and effective communication throughout the project lifecycle.

As a Senior Software Engineer at WellSaid, you will develop features for their AI-powered Text-to-Speech application, collaborate with teams to improve UI/UX, and mentor junior engineers. You will work on the creative studio that enhances user experience for audio generation and lead technical decisions.

As a Staff Software Engineer on the Batch Compute team at Tecton, you will architect, design, and scale compute engines and storage architecture for AI applications, leading multi-engineer projects and improving engineering practices, while developing solutions to enhance machine learning systems.