Top Senior Level DevOps Jobs in Las Vegas, NV

As a Frontend Engineer at Customer.io, you'll enhance in-app messaging capabilities by building robust web applications, collaborating with product teams, and advocating for cutting-edge frontend technologies. Your expertise will contribute to creating user-friendly solutions and responsive UI components while promoting a culture of excellence within a remote-first team.

As a Senior Full Stack PHP Engineer, you will enhance existing projects, develop new features, improve websites, engage in problem-solving, and interact with stakeholders. You will maintain quality and functionality of products while balancing creative development with management of large projects.

As a Senior Site Reliability Engineer, you'll monitor production environments, design and enhance Azure-based infrastructure, and implement disaster recovery strategies, ensuring high availability and compliance while collaborating with engineering teams to improve system performance.

The Staff Software Engineer will own frontend features, working directly with customers and the design team. Responsibilities include developing high-performance React applications and enhancing user experiences in robotics and self-driving technologies.

As a Lead Software Engineer, you will lead the technical design and execution of e-commerce solutions, collaborating with product and design teams. Responsibilities include writing scalable code, overseeing contractor engineers, participating in code reviews, and refining engineering processes while ensuring high performance and quality across the platform.

As a Senior Backend Engineer, you will drive impactful projects for the Customer Experience team, prioritizing engineering efforts, leading project execution, designing and implementing systems, and mentoring engineers. You'll ensure the team's success while maintaining high standards of engineering quality and availability.

As a Core AI Engineer, you will develop and deploy end-to-end Gen AI applications, build scalable AI systems, and work with advanced technologies in NLP and predictive analysis. You will collaborate with various teams to integrate AI models into both existing and new applications, automate model deployment through MLOps pipelines, and ensure efficient data processing and feature engineering.