Top Software Engineer Jobs in Kansas City, MO

The Software Engineer will design and build full-stack features, enhance CI/CD pipelines, support production systems, and collaborate with teams.

Design and build the control plane for Postgres clusters, ensure data protection, automate database operations, and collaborate with customers to enhance the platform.

As a Growth Engineer, you'll build and iterate experiments to improve subscription metrics, work on Shopify and React Native applications, and collaborate cross-functionally on product development.

As a Senior Software Engineer at NexHealth, you'll build scalable back-end systems, maintain integrations with EHRs, and manage cross-functional engineering projects to support the company's growth.

As a Senior Software Engineer on the Infrastructure team, you'll build and manage critical systems, contribute code, handle incidents, and enhance developer tooling.

As a Senior Backend Engineer in Conversational AI, you will design and implement intelligent systems, lead technical projects, mentor teammates, and ensure the quality of your team's code while collaborating with cross-functional partners.

The Staff Software Engineer will lead the development of a Civic Engagement product, establishing engineering practices and overseeing technical strategy across multiple teams and systems while ensuring product reliability and security.

Lead the engineering team, oversee project management, and ensure product development aligns with company goals and industry standards.

Architect, build, and scale full-stack applications and high-throughput backend services. Develop React/TypeScript frontends and Ruby on Rails/Java backends, design APIs and real-time microservices (dispatch/logistics focus), introduce automated testing and CI/CD, improve scalability and observability, support AI initiatives, and mentor engineers while collaborating with product and UX teams.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.