Top Remote Senior Level Software Engineer Jobs in Houston, TX

As a Senior Software Engineer, you will lead the development of an innovative AI platform, architect front-end solutions with React, implement secure back-end infrastructures, and collaborate with cross-functional teams to enhance user experience and performance.

As a Staff Engineer, you will enhance Cruise’s infrastructure scalability and efficiency through cross-functional collaboration, focused on cloud efficiency. Responsibilities include running performance experiments, identifying infrastructure gaps, optimizing cloud resource consumption, and designing automation for capacity planning.

The Senior Full-Stack Software Engineer will develop clinical software for the RadMachine application, focusing on both front- and back-end coding. Responsibilities include working in remote teams, leading software development efforts, and ensuring high-quality automated solutions for cancer care.

The Sr ERP Developer will design and develop digital solutions within the ERP system to support business operations and enhance efficiency. This includes collaborating with stakeholders, analyzing needs, integrating new technologies, ensuring compliance, and providing training to users.

The Senior Engineering Manager at NerdWallet will lead front-end engineering teams, focusing on software development practices to enhance product performance and SEO impact. Responsibilities include managing the technical roadmap, building partnerships with product teams, improving operational excellence, mentoring engineers, and developing project plans.

The Consulting Engineer at ProArch is responsible for designing and managing technology solutions for clients. This includes planning and implementing Windows Server, Azure, VMware environments, and ensuring seamless integration. The engineer troubleshoots issues, conducts technology assessments, and creates recommendations while interfacing with clients across various verticals.

As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.