Top Senior Level Software Engineer Jobs in Kansas City, MO

The Senior Full Stack Software Engineer will lead technical architecture discussions, drive engineering excellence, and implement scalable systems that enhance patient care through AI-powered features. This role requires collaboration with product managers and a focus on both immediate and long-term technical solutions while mentoring other engineers.

As a Senior Site Reliability Engineer, your main responsibility will be ensuring system reliability while developing a new platform. You'll leverage your expertise in DevOps practices, Infrastructure as Code, and CI/CD tools. You'll also coach and share best practices in Google SRE, while working in a container-based cloud environment with Terraform and Github Actions.

As a Lead Backend Engineer, you will design, develop, and maintain scalable backend systems, optimize existing systems, conduct code reviews, and collaborate with engineering and product teams to enhance user experience while mentoring junior engineers.

The Senior Fullstack Engineer will lead technical innovation at Sotheby’s by designing and developing modern marketplace solutions. Responsibilities include building internal and consumer tools, improving user experiences, and collaborating with multicultural teams to optimize processes. The role requires strong communication skills and eagerness to learn while leveraging expertise in distributed systems, microservices, and database management.

As a Staff Software Engineer at Built, you will develop critical shared services focusing on APIs and distributed systems. Responsibilities include building scalable applications and collaborating with teams to ensure quality and efficiency in deliverables.

As Systems Engineering Manager at NationBuilder, you will lead a team focused on enhancing the platform's reliability and performance. Responsibilities include managing cloud infrastructure, security compliance, and developing engineers. You will collaborate with various teams and drive improvements in operational processes using data-driven insights.

The AI Engineer will build and maintain AI-driven solutions, implementing features rapidly, and collaborating on innovative projects in a high-growth environment. Responsibilities include project development from scratch, optimization for LLM-based applications, and writing scalable code.