Top Software Engineer Jobs in Salt Lake City, UT

Lead engineering strategy and delivery for customer-facing web and mobile platforms; drive AI-native transformation, increase conversion and speed-to-fund, raise engineering talent and velocity, ensure secure and compliant architectures, partner with product and cross-functional teams to deliver measurable business outcomes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The Founding Engineer will develop full-stack applications, shape product direction, and work in ambiguous environments from concept to validation.

A Database Administrator manages and secures databases, ensuring data is accurate and available. Responsibilities include installation, performance optimization, security management, troubleshooting, and data integrity.

The Manager, Cloud and Data will lead a team to build and maintain scalable data infrastructure for autonomous vehicle technology, mentoring team members and managing day-to-day operations.

As a Backend Software Engineer, you'll design, develop, and optimize scalable backend platforms and services while collaborating with cross-functional teams.

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

The Controls Support Specialist - MQTT manages the deployment and validation of control systems in data centers, ensuring operational effectiveness through MQTT architectures, and supports integration and troubleshooting in critical infrastructure environments.

The Senior Software Engineer will impact the architecture and development of a new platform, building scalable solutions and enhancing technical practices in a collaborative environment.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.