Top Remote Senior Level Software Engineer Jobs in Minneapolis, MN

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 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.

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 Engineer will lead the development of caption editing and dubbing tools, modernize audio description tools, mentor developers, establish best practices, and contribute to full-stack development. The role emphasizes clean code design and effective problem-solving to enhance media accessibility.

The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.

The Senior Software Engineer will focus on the development and ownership of Android Mobile Apps, primarily using Java and Kotlin. Responsibilities include building new features, supporting existing applications, ensuring quality through testing, and collaborating with various teams to enhance product documentation and overall customer interaction.

The Staff Software Engineer will evolve a predictive analytics application into an enterprise-grade solution, develop APIs for security and data accessibility, implement best practices for automated testing, mentor peer engineers, and work with data teams to create robust ML Ops pipelines.