Top Remote Software Engineer Jobs in Salt Lake City, UT

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Build zero-to-one products from prototype through production, working through ambiguity and partnering closely with product, design, and customers. Develop scalable systems, run experiments and technical spikes, influence product direction, and uphold reliability, performance, engineering standards, and customer experience. Mentor engineers and contribute to architecture, coding practices, and cross-functional collaboration.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Build and maintain backend services, APIs, and integration layers for a modular ecommerce platform. Integrate personalization, semantic and LLM search, DAM, PIM, SAP/HANA, ERP, analytics, and customer data systems. Use AI coding agents throughout development while validating code quality, security, performance, and reliability. Design scalable APIs, automated testing, observability, and reusable architecture while collaborating with internal teams, vendors, and implementation partners.

Leads and mentors the AgentMate application development team while remaining hands-on with C#/.NET development. Owns engineering execution, application security, PCI compliance, reliability, quality, observability, technical debt, and production support. Partners with Product, Delivery, Infrastructure, Security, QA, and business stakeholders to deliver secure, scalable applications. Responsibilities include architecture and coding, threat modeling, vulnerability remediation, CI/CD improvements, incident resolution, technical planning, documentation, hiring, and team development.

Full-stack engineers will develop features for a system used by radiologists, focusing on low-latency WebSocket workflows and UI/UX design.

Develop and expand Laravel/PHP backend and Vue.js frontend applications for Relocity’s global mobility platform. Responsibilities include architecture, implementation, testing, code reviews, debugging, documentation, REST API development, database optimization, and troubleshooting. The engineer will own complex technical problems, collaborate with Product and Design, apply product and user-experience thinking, and use AI-enabled development tools to accelerate software delivery.