Top Software Engineer Jobs in Las Vegas, NV

The Staff Software Engineer will lead the development of a scalable lending ecosystem, architect customer-centric financial products, and maintain product performance through collaboration with teams and implementation of best practices.

The Web3 / Full-stack Software Engineer will design, develop, and deploy software solutions for staking products, collaborating with engineers and UX designers to enhance UI and ensure security of blockchain networks.

The Mongo Database Engineer will design and implement database solutions, enhance security, lead automation processes, and optimize database structures, contributing to national security initiatives.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

As a Senior Software Engineer at Upwave, you will build scalable backend systems, develop APIs, and engineer data pipelines while collaborating with product and data science teams.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

Lead EDI architecture and implementation using Oracle and Cleo platforms. Design scalable B2B integrations, manage communication protocols (AS2, SFTP, HTTPS, API), create EDI maps (X12, EDIFACT), onboard trading partners, integrate with ERPs, optimize processes, lead UAT, and provide Tier 3 support and mentorship.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.