Top Remote Senior Level Software Engineer Jobs in Salt Lake City, UT

As a Staff Site Reliability Engineer, you will lead and mentor a team, ensuring the reliability, scalability, and security of the platform. Responsibilities include designing AWS infrastructure, collaborating with developers for performance optimization, automating tasks, and developing monitoring systems to handle incidents efficiently.

The Senior QA Engineer is responsible for developing and executing manual test plans, performing functional and regression testing, identifying bugs, collaborating with stakeholders, setting up test environments, designing test automation frameworks, mentoring junior team members, and improving testing processes.

As a Senior Software Engineer on the Business Universe team, you will build and deploy software that enhances Pilot's bookkeeping service, collaborate with cross-functional teams, mentor peers, and maintain high-quality code. You will handle both backend and frontend technologies while ensuring the software supports real-time financial data analysis.

The Head of Development leads the web development team ensuring project quality and timely completion. Responsibilities include escalation support, team management, leadership coaching, stakeholder communication, and scoping new projects while fostering a collaborative work environment and ensuring client retention.

As a Senior Software Engineer at Litify, you will focus on developing applications within the Salesforce ecosystem, writing scalable code in JavaScript and Apex, mentoring junior developers, and designing solutions based on product requirements.

The Salesforce Solution Architect is responsible for designing and architecting complex Salesforce solutions, providing technical leadership, ensuring adherence to best practices, and collaborating with stakeholders for requirements analysis. They focus on performance and scalability while overseeing integration architecture and security compliance.

As a Tech Lead Manager, Machine Learning, you'll guide a team of engineers in developing AI-driven products, oversee technical direction, foster collaboration, and enhance existing ML systems, ensuring high-quality execution aligned with company goals.