Top Software Engineer Jobs in Las Vegas, NV

Leads architectural decisions, web roadmap delivery, and API acquisition efforts. Partners with leadership on engineering roadmaps and technical feasibility, mentors engineers, promotes best practices, and guides scalable application development and project planning. The role requires engineering team management, Ruby on Rails experience, cloud application development, strong communication, and effective mentorship.

Develop and maintain internal full-stack applications using C#/Blazor or Python. Build CI/CD pipelines and infrastructure automation with GitLab, Azure DevOps, GitHub, Artifactory, and SonarQube. Partner with cross-functional teams to improve software delivery, code quality, security, compliance, and operational visibility. Implement scalable enterprise solutions, infrastructure as code, secure development practices, and DevSecOps workflows.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Lead the architecture, development, customization, and integration of NetSuite finance systems supporting accounting, Order-to-Cash, and Record-to-Report processes. Partner with Finance, Accounting, Tax, Treasury, Audit, and Data Engineering teams to implement controls, improve close processes, enhance reporting, ensure SOX and GAAP compliance, and manage integrations. Establish NetSuite engineering standards, mentor engineers, oversee data governance, and provide technical leadership for scalable finance technology solutions.

Lead the architecture and delivery of GitLab’s data products, including near-real-time data ingestion, knowledge graph integrations, data marketplaces, observability, and data-sharing APIs. Translate ambiguous 0-to-1 initiatives into roadmaps, resolve cross-team dependencies, ensure operational readiness across deployment surfaces, and mentor engineers. The role requires deep full-stack expertise, technical leadership, and experience with AI-powered orchestration and multi-tenant SaaS systems.

Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.