Top Remote Software Engineer Jobs in Dayton, OH

Enable and scale partner technical capabilities by assessing partner readiness, delivering structured enablement and demos, validating enterprise opportunities, recommending architectures, and building reusable workshops, playbooks, and technical resources to support partner-led Webflow solutions.

As a Software Engineer, you will build and maintain a native advertising platform, collaborating with teams to enhance user interfaces and improve ad campaign effectiveness.

Develop and maintain software applications on the ServiceNow platform while integrating with cloud technologies. Troubleshoot issues and work with customers on implementations.

Develop and maintain software applications on the ServiceNow platform, perform integrations, troubleshoot issues, and communicate with clients.

The Software Engineer - Cloud will design and improve cloud infrastructure and data pipelines, develop AI and tooling solutions to enhance recycling operations using machine learning.

The Engineering Manager leads and develops engineering teams, drives high-quality software development, enhances processes, and collaborates with stakeholders to deliver scalable solutions.

Lead the Behavioral team to develop systems that translate customer activity into marketing triggers. Drive technical initiatives, manage a team, and ensure operational excellence in scalable backend services.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

The role involves developing and optimizing web applications for 3D graphics in a dental tech environment, requiring collaboration on frontend and backend integrations and ensuring high performance and quality standards.

The Staff Software Engineer will enhance observability, maintain CI/CD pipelines, and ensure system reliability, collaborating across teams for effective infrastructure management.

Lead the development and evolution of a modern data lakehouse, manage project life cycles, mentor team members, and ensure data quality and operational standards.