Top Senior Level QA Engineer Jobs in Las Vegas, NV

The Senior Frontend Engineer will develop and maintain front-end components for a data labeling platform, focusing on user experience, performance, and scalability. Responsibilities include collaborating with team members to create user interfaces, participating in all development stages, establishing coding standards, and mentoring junior engineers.

The Principal Architect, Data Solutions at Zencore will collaborate with clients to understand their technical challenges, develop cloud technology solutions, lead project teams, and mentor engineers, ensuring end-to-end project delivery and strategic guidance.

The Senior Software Engineer at APrime will lead initiatives to enhance engineering productivity through platform improvements, collaborate on cloud infrastructure projects, develop maintainable code, and architect cloud-based solutions with minimal guidance.

The Full Stack Python Developer will collaborate with project delivery staff to design and implement features for energy efficiency programs. Responsibilities include writing secure Django-based code, managing version control with Git, ensuring data privacy, and documenting code effectively.

As a Platform API Architect, you will lead the API architecture for Agerpoint. Responsibilities include defining long-term API vision, maintaining design principles, collaborating with teams on requirements, establishing governance for API changes, and optimizing API performance. You will also mentor development teams and ensure API documentation is thorough.

The Senior Software Engineer will design and develop applications using JavaScript (Node.js), TypeScript, Python, and manage API integrations. They will own their tasks from definition to deployment while ensuring scalability and security best practices, collaborating with diverse engineering teams, and adapting to changing priorities in a startup environment.

The Lead Data Engineer / Full Stack Engineer will design and build data engineering solutions, create data pipelines, enhance data quality, and support the development of dashboards and visualizations. The role requires expertise in AWS stack, SQL, and big data technologies to facilitate efficient healthcare data management and reporting.