Top Remote Software Engineer Jobs in Provo, UT

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Designs, builds, and scales backend services and integrations for payments, billing, identity, and partner connectivity. Sets technical vision and architecture for distributed systems, leads cross-team delivery, manages production rollouts, builds fault-tolerant services and data pipelines, and mentors engineers. The role partners with product, design, and engineering teams to deliver frequent, reliable improvements for Flex’s rent payment platform.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Build and own full-stack MarTech services, scalable APIs, event-driven systems, data pipelines, and customer-facing web experiences. Integrate advertising, analytics, messaging, and marketing platforms while supporting attribution, identity resolution, experimentation, acquisition, and retention. Collaborate cross-functionally with marketing, product, data, design, and engineering teams to launch measurable growth initiatives. Mentor engineers and establish technical best practices across high-scale marketing infrastructure.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Build and independently deliver full-stack healthcare software features using Java or Groovy, React and TypeScript, MongoDB, and Kafka. Responsibilities include design, implementation, testing, deployment, production debugging, code reviews, design documentation, dependency coordination, process improvements, and mentoring. The role requires reliable delivery with minimal oversight and collaboration across engineering, product, and QA teams in a remote-first environment.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and maintain responsive web experiences, PWAs, and native-feeling mobile apps; design secure APIs and third-party integrations; develop conversational AI bots and support automation; implement ad-tech, segmentation, push notifications, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, cloud and DevOps fundamentals, and collaboration in a fast-paced startup.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.

Build and support scalable payment systems using Java, Spring Boot, AWS, microservices, APIs, messaging, and event-driven architectures. Integrate third-party payment providers, troubleshoot production issues, automate deployment and infrastructure management, and contribute to reliable, secure, scalable payment platforms. Collaborate with product and business teams to develop payment capabilities and leverage generative AI and LLMs to improve software engineering workflows.

Design, develop, and maintain core database features for VillageSQL Cloud, emphasizing performance, stability, scalability, security, and reliability. Build distributed systems using Go and Kubernetes, collaborate on technical vision and architecture, contribute to open-source projects, participate in code reviews, troubleshoot complex issues, and engage with the developer community. The role focuses on database-as-a-service infrastructure and cloud service evolution.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and scale consumer-facing mobile and web applications and backend services. Own features end-to-end across frontend and backend, optimize databases and queries, integrate third-party APIs, implement algorithms for risk and transaction evaluation, improve reliability and CI/CD, and contribute to testing, monitoring, and internal tools to support customer operations.

Design, develop, and modernize enterprise-scale applications, RESTful APIs, microservices, and distributed systems. Build cloud-neutral solutions across AWS and Azure, support legacy application migrations, participate in architecture and code reviews, troubleshoot production issues, document technical designs, and mentor engineers. The role emphasizes scalable, secure, high-performance backend systems, technical leadership, and engineering best practices.

Provides architectural leadership for complex CX orchestration platforms built on AWS, Genesys Cloud, and Salesforce. Designs integrations and distributed systems, establishes engineering standards, leads governance and technical roadmaps, resolves high-impact production issues, evaluates technologies, and mentors senior engineers and technical leaders. The role influences enterprise architecture, risk mitigation, platform strategy, and cross-functional technical decisions.

Lead the architecture, development, deployment, and reliability of cloud-based customer experience platforms using AWS, Genesys Cloud, and Salesforce Service Cloud. Design integrations, data pathways, CI/CD pipelines, and infrastructure automation while ensuring security, compliance, scalability, and performance. Serve as a technical subject matter expert, guide global agile teams and vendors, coach engineers, establish DevOps practices, and troubleshoot critical production issues.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Develop and maintain Medicare claims-processing software in a mainframe environment using COBOL and related technologies. Responsibilities include technical design, coding, unit testing, debugging, defect resolution, deployment to testing regions, documentation, requirements decomposition, project estimation, and Agile team coordination. The role provides technical guidance and mentorship to developers while supporting complex DME contract maintenance and operations.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.