Top Senior Level Software Engineer Jobs in Kansas City, MO

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

As a Senior Software Engineer at Crux, you will design and develop data workflow management platforms, implement scalable microservices, manage identity and access management, and mentor teammates while ensuring high performance and production SLOs for applications.

As a Sr. Full Stack Engineer (AI) at Rightway, you'll lead AI integration initiatives, developing features that enhance healthcare delivery through technology. You'll architect and implement full-stack solutions in a collaborative environment, ensuring systems are scalable and secure while mentoring team members.

As a Senior Engineering Manager for the Science/ML Platform at Haus, you will drive engineering execution, collaborate with product and science teams, manage a team delivering ML products, and ensure high-quality delivery in a fast-paced environment.

As a Senior Software Engineer at Bond, you will lead major initiatives to enhance the platform, collaborate with cross-functional teams, design APIs, build secure and scalable systems, ensure operational excellence, mentor junior engineers, and maintain technical standards to deliver innovative financial solutions.

As a Solutions Sales Specialist for Verily Workbench, you will manage the sales process for life sciences customers, understand their needs, and drive the implementation of solutions that enhance clinical research. Responsibilities include building relationships, leading strategic sales processes, and collaborating with cross-functional teams to meet goals and establish Verily as a leading partner.

The Senior Software Engineer will develop user-friendly interfaces for a machine learning and AI cloud platform, implement advanced AI models and workflows, and oversee features from design to deployment. The engineer is expected to build responsive frontend and business-critical services, work with modern technologies, and ensure system availability. Candidates need at least 6 years of frontend and 8 years of service implementation experience.