Top Remote DevOps Jobs in Salt Lake City, UT

The Software Engineer (Backend/Data) at Fathom will develop data infrastructure for ingesting and normalizing medical data, build interfaces to the data, and create systems that support scalable cloud-based machine learning. The role requires strong backend coding skills and problem-solving abilities, focusing on collaboration.

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.

The Software Engineer at Empowerly will lead innovative projects and collaborate with teams to develop web applications and enhance college counseling services. Responsibilities include coding algorithms, developing responsive web interfaces, and working with design and product management teams to ensure high-quality software delivery.

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.

The ICT Design Engineer is responsible for designing and managing structured cabling systems, conducting site evaluations, mentoring team members, and leading projects. The role involves integrating innovative solutions, ensuring quality assurance, and providing ongoing technical support while adhering to industry standards and trends.

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.