Top Tech Jobs & Startup Jobs in Salt Lake City, UT

Design, implement, test, and document network protocol stacks and services for LynxOS-178 and other RTOS/Linux kernel environments. Optimize network performance, troubleshoot low-level network and software issues, develop BSD/POSIX sockets applications, collaborate cross-functionally, and support certification data generation and review.

The Software Engineer, Backend Engineer will develop, automate, and maintain core functionalities for Rescale customers, focusing on backend systems and cloud services.

Invite candidates to join ASM's Talent Community to receive tailored career updates, insider culture content, and early notice of job opportunities and projects.

The Senior Manager of SEO will drive organic search performance, manage SEO campaigns, analyze performance data, and collaborate with cross-functional teams to optimize marketing initiatives.

Lead and scale the engineering team, hire engineers, set technical direction, ensure engineering excellence, and foster a high-performance culture.

Morgan & Morgan offers a Summer Associate Program, mentoring law students through hands-on experience with trial attorneys, preparing them for a career as Trial Attorneys with a focus on client service and legal practices.

The Customer Solutions Director defines solution architecture for telco software, advising clients on technology transformation, cloud migration, and ensuring alignment between technology and business. Responsibilities include architecture governance, solution design, and stakeholder communication.

The FP&A expert will manage budgeting, forecasting, and reporting processes, partner with departments for analysis, and optimize financial practices to support strategic decisions.

Design, execute, and maintain manual and automated tests across web, API, and database layers. Shift-left testing, validate integrations and business rules, manage defects, contribute to CI/CD QA gates, and build test documentation and dashboards while collaborating with cross-functional teams.

Design and operate production ML systems for large-scale streaming data, ensuring reliability and performance while collaborating with researchers to integrate models into distributed systems.