Top Senior Level C# Jobs in Kansas City, MO

As a Full Stack Engineer, you will design, develop, and support cloud-native web and data analytics applications. You'll collaborate in an Agile environment, write clean maintainable code, build user-friendly components, and take ownership of projects ensuring performance and quality standards while engaging with cross-functional teams.

This role involves designing, developing, and testing features for internal and client-facing projects using a variety of technologies. Responsibilities include writing clean code in C# and JavaScript, ensuring application performance, and adapting to new technologies. The position requires problem-solving abilities and a collaborative work ethic in an agile environment.

Lead voice and digital AI Self-Service solutions for large, multi-location contact centers. Design and implement AI self-service applications with Google CCAI. Serve as a project lead for Google Delivery practice. Integrate backend systems and perform testing.

The Systems Engineering Manager will lead a team focused on reliability, security, and performance of the NationBuilder platform, working collaboratively with engineering and operations. Responsibilities include developing technical vision, managing costs, ensuring compliance, and fostering professional growth within the team.

As a Staff Software Engineer, you will design and develop cloud-based applications and microservices, advocate for modern software practices, and lead technology adoption. You will work on enterprise software solutions while mentoring others in a strategic engineering role.

As a Senior/Lead Software Engineer at Icertis, you will develop AI-driven solutions for contract intelligence. Collaborate with teams to design GenAI solutions, develop robust components, evaluate AI technologies, and drive product innovation. Your role includes rapid prototyping and engaging stakeholders, contributing to the enhancement of product offerings.

The Senior Software Engineer in Data Tools will enhance tools for managing healthcare data, creating insights for various teams, and ensuring data governance. Responsibilities include integrating data models with open source tools, developing data ingestion pipelines, and innovating data validation methods.