Top Remote Software Engineer Jobs in Lincoln, NE
The Principal Software Architect at RapidScale leads the Cloud Native Development and Modernization practice, guiding clients through transforming legacy architectures into modern solutions. This role involves technical engagement, mentoring teams, overseeing project development, and participating in sales processes. The architect will build proofs of concept and promote innovative practices within the organization.
The Senior Software Engineer will enhance video streaming solutions using Wowza and similar technologies. Responsibilities include optimizing GPU efficiency, architecting high-quality video features, and overseeing maintenance and upgrades. The role requires expertise in large-scale streaming pipelines and mentoring less experienced staff.
The Staff Software Engineer will innovate and enhance CertifID's platform, collaborating closely with engineers, product managers, and designers. Responsibilities include creating high-quality software solutions, fostering code quality and documentation, participating in agile practices, mentoring peers, and contributing to a positive culture of innovation and continuous improvement.
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The Senior Software Engineer will deliver flexible and reliable services, develop APIs, create operational monitoring functions, and collaborate with technology teams. Responsibilities include coding, documentation, and ensuring high quality and scalable software practices, while leveraging modern technologies.
The Senior Software Engineer in the Life Sciences Team will enhance Domino Datasets functionality through API access, improve version control in Domino Projects, design regulatory compliance features, implement audit logging, automate data version tracking, and optimize workspace performance using Kubernetes technology.
The Pre-Sales Engineer at AKIPS is responsible for delivering technical presentations and product demonstrations, establishing client relationships as a trusted adviser, supporting sales efforts, and collaborating with various teams to ensure the product meets customer needs. They will also provide technical guidance and training for partners while promoting AKIPS solutions at events.
As a Staff Backend Engineer at Webflow, you will architect, design, and implement scalable backend services and APIs, mentor junior engineers, and contribute to the team's functional strategy. You will work with various modern technologies to produce maintainable, tested, and performant code while collaborating with product managers and designers.
The Staff Software Engineer will enhance front-end architecture and code quality, lead feature development, and mentor engineers while improving user experience on Spring Health's digital platforms.
The Staff Software Engineer will integrate emerging AI technologies and build proprietary developer tools to enhance member experiences at Spring Health. Responsibilities include collaborating in a team, mentoring engineers, and providing technical direction to the organization.
As a Senior Software Engineer at Spring Health, you'll integrate AI technologies into member experiences, build developer tools, and innovate on feature roadmaps. You'll be a technical leader, collaborating with engineers, PMs, and designers to deliver high-quality experiences efficiently while mentoring team members.
Lead development of components and user experience related to sensitive data identification and classification. Coordinate design, development, and deployment across engineering teams. Ensure quality through code reviews and best practices.
The Senior Site Reliability Engineer will design and maintain high-performance systems, improve service availability and scalability, and oversee the infrastructure architecture. Responsibilities include managing deployment processes, incident response, and capacity planning while participating in on-call duties.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
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