Top Remote Software Engineer Jobs in Salt Lake City, UT

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Lead the architecture, development, and deployment of scalable APIs and backend systems for Afresh’s AI-powered grocery ordering platform. Partner with product, account management, design, and engineering teams to deliver integrated solutions used across thousands of stores. Drive projects from conception through launch, make high-impact architectural decisions, understand complex business dependencies, and mentor junior engineers.

Serve as a senior database administrator supporting enterprise SQL Server and Oracle environments. Responsibilities include database design, configuration, performance optimization, backups and restores, high availability, disaster recovery, security, data governance, reporting, capacity planning, troubleshooting, patching, and system monitoring. The role also involves stakeholder coordination, technical planning, client interaction, continuity exercises, and support for distributed systems and SQL clusters.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Provides technical leadership for a platform initiative by defining architecture, scalability, and long-term engineering strategy. Designs APIs, data pipelines, integrations, and distributed services; leads complex initiatives; manages dependencies and cross-functional execution; improves reliability, observability, and operational efficiency; evaluates technical risks and emerging technologies; and influences product roadmaps and technical direction across teams.

Deliver technical masterclasses on transforming traditional software development lifecycles for agentic engineering. Present concrete before-and-after examples covering task specifications, code review, QA, releases, human oversight, MCP, agent configuration, and AI-generated code quality gates. Collaborate with Nebius Academy’s curriculum team to create or adapt educational materials and potentially contribute to future sessions.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.