Top Remote Software Engineer Jobs in Ogden, UT

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists on training datasets. The role requires ownership of engineering projects, strong backend development, production systems experience, and independent problem-solving in an ambiguous environment.

Build and operate large-scale data pipelines that acquire, process, and optimize audio datasets for AI model training. Responsibilities include discovering data sources, improving data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. The role requires strong backend engineering, production systems experience, and independent problem-solving in a distributed environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement in a distributed, ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement, with emphasis on backend development, production systems, data acquisition, and scalable infrastructure.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing processing systems for quality, throughput, and cost, and collaborating with AI scientists. Own engineering projects from discovery through continuous improvement while working independently in an ambiguous environment.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The role requires strong backend engineering, production systems experience, Python and Bash proficiency, and independent ownership of projects. Experience with web crawling, distributed processing, GCP, Terraform, machine-learning datasets, or audio processing is advantageous.

Build scalable data pipelines and processing systems for AI model training at petabyte scale. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, optimizing throughput and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, optimizing data processing for quality, throughput, and cost, partnering with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Build and maintain high-performance, resilient SDKs across multiple programming languages and platforms. Develop features, improve reliability, collaborate with engineering and product teams, maintain open-source repositories, and influence technical and product decisions. The role requires strong software engineering fundamentals, polyglot development ability, library-building experience, production-quality coding, and expertise in unit, integration, load testing, and benchmarking.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Build, test, review, deploy, monitor, debug, and maintain full-stack software used in K-12 classrooms. Work primarily with React, TypeScript, Node.js, and AWS while improving complex codebases and service design. Participate in incident response, refactoring, code reviews, pairing, mentorship, and cross-functional collaboration with product, design, and education experts. Use AI tools thoughtfully and prioritize reliable, accessible, and equitable learning experiences.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Build and ship core 0-to-1 systems connecting software, hardware, and finance. Responsibilities include designing abstractions over complex data and legacy systems, owning the full product lifecycle, developing production-grade LLM systems for loan underwriting and compliance, and contributing to engineering and product culture. The role requires strong backend and systems thinking, with comfort in full-stack development and UI design.

Unpaid software engineering internship focusing on full-stack web development with TypeScript, Next.js/React and Node/Express. Work on front- and back-end features, responsive UI with Tailwind, animations with Framer Motion, PostgreSQL and MongoDB integration, REST APIs, microservice-based architecture, code reviews, debugging, and product planning in a remote-first startup.