Top Remote Software Engineer Jobs in Las Vegas, NV

As a Software Engineer at Wormhole Labs, you will contribute to the open-source development of the Wormhole cross-chain messaging protocol, collaborate with teams to enhance components, maintain testing frameworks, and stay updated with web3 best practices.

As a Senior Software Engineer at PerformLine, you will develop robust APIs, optimize SQL queries, integrate Python applications with Go services, and work in an AWS ecosystem. Your role involves mentoring junior engineers, advocating for best practices, and impacting team morale while facilitating efficient delivery of features in an Agile environment.

As a Senior Software Engineer on the data infrastructure team, you'll build and maintain the infrastructure for data ingestion and processing. You'll focus primarily on backend data architectures while contributing to internal tool frontends, ensuring data quality and supporting the company's core systems.

The Senior Frontend Engineer will develop and maintain front-end components for a data labeling platform, ensuring user experience and scalability. The role involves collaborating with product managers and designers, conducting code reviews, and mentoring junior engineers, while emphasizing quality and performance in codebase management.

As a Senior Engineering Manager at CallPotential, you'll lead an engineering team to develop high-quality software solutions, optimize engineering processes, and foster a culture of collaboration. Your responsibilities include guiding project timelines, implementing systems thinking, and managing cross-functional team collaborations to achieve customer-centric product objectives.

As a QA Engineer, you'll ensure high-quality software delivery, perform testing across various platforms, use both manual and automated techniques, and integrate testing into CI/CD pipelines. You'll collaborate with cross-functional teams and advocate for process improvements while ensuring compliance with industry regulations.

Lead the design and implementation of modern data architectures and scalable data platforms. Collaborate with various teams to ensure data integrity and accessibility while optimizing data pipelines and mentoring the engineering team. Foster innovation and address the data infrastructure needs of the organization by integrating AI/ML workflows.