Top Software Engineer Jobs in Provo, UT

As a Full-Stack Engineer, you'll design and build AI-powered applications, develop front-end interfaces, and scalable back-end services for enterprise users while collaborating with research and product teams.

The Senior Software Engineer - Data will build scalable software products leveraging data, mentor team members, and define data strategies, while focusing on customer-oriented solutions and architecture.

As a Senior Backend Engineer, you will design and maintain backend services and APIs for Phantom Cash, emphasizing reliability and user impact while mentoring and elevating engineering standards.

The Senior Software Engineer will enhance user experiences in crypto wallets, focusing on collaboration, performance, and delivering quality products.

As a Senior Software Engineer, you will lead a team, promote best practices, and develop scalable web applications using various technologies while focusing on quality and continuous improvement.

Design and maintain backend services for AuthZed Cloud's control plane, focusing on Kubernetes systems and secure authentication. Collaborate with teams for system reliability and incident resolution.

Develop and maintain web applications using Go and Vue.js, collaborating with teams to build features, conduct testing, and optimize performance.

The Staff Software Engineer leads the design and implementation of systems, mentors engineers, and drives engineering standards while focusing on scalable, high-performance software.

As a Staff Software Engineer, you will lead projects, build features, improve user experience, mentor team members, and streamline processes. You will collaborate across teams and enhance engineering practices.

Lead the Web Data Acquisition team as a Principal Software Engineer, responsible for designing web crawling infrastructure and mentoring engineers.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

Design and build distributed systems for authentication and fraud detection, ensuring reliability and performance. Manage model lifecycle and enhance operational efficiency through observability and incident response leadership.

The Staff Software Engineer at Wikimedia will lead technical projects for Toolforge, develop platforms, and improve workflows for community-built tools.

The Senior Software Engineer will develop strategies for data feeds, ensuring reliability and performance, support feature deployments, and address system issues while fostering collaboration within the team.

The Staff Software Engineer will lead Toolforge's development, enhancing the platform for tool creators through technical leadership, mentorship, and improved user workflows.

Develop and execute engineering strategies, improve data infrastructure, support deployments, troubleshoot issues, and design scalable services in a fast-paced environment.

As a Senior Software Engineer on the SmartDesk team, you will build AI-powered experiences, develop web services, and mentor teammates while ensuring software quality and scalability.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Senior Software Engineer will design and develop high-volume distributed data processing systems, improving algorithms, managing large datasets, and collaborating with multiple teams to meet data ingestion needs.

The role involves designing and implementing SaaS solutions, leading development teams, ensuring high software engineering standards, and maintaining system performance.

Design, develop, and maintain high-uptime cloud-native services, optimize cloud costs, handle on-call duties, and improve production systems.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

The software engineer will design and implement low-latency streaming transport protocols, analyze network performance, and improve transport stacks for cloud gaming.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Design and develop full stack applications, lead modules, collaborate with teams, and ensure secure, optimized web application integration.