Top Senior Level Front-End Developer Jobs in Kansas City, MO

The Senior Software Engineer will enhance the analysis engine of Mayhem, focusing on identifying bugs and security vulnerabilities. Responsibilities include developing features, fixing bugs, writing tests, and collaborating with support engineers. Ideal candidates have strong programming skills, knowledge of operating system concepts, and experience in vulnerability research or reverse engineering.

As a Senior Fullstack Engineer, you will architect and develop a complex, distributed system, writing clean and maintainable frontend and backend code. You are expected to conduct code reviews, implement quality assurance practices, assist team members, and continuously learn and apply new technologies.

As a Growth Engineer at Ritual, you will lead the integration of AI infrastructure with partner applications, support the integration lifecycle, provide technical support, maintain documentation, and evaluate new technologies to enhance functionality.

As a Staff Software Engineer, you'll design and develop high-quality software solutions, lead architectural discussions, mentor the engineering team, and work on cloud-based projects utilizing Azure, Node.js, and React. You will evaluate and select technologies to meet business needs, ensuring scalable and secure solutions.

The Senior Full Stack Engineer will build and enhance privacy management tools using Ruby on Rails and React, work with AWS, and integrate database technologies like Postgres. Responsibilities include developing scalable systems, leading feature development, and collaborating with PMs and cross-functional teams.

As a Principal Engineer, you will lead a team to develop an Electronic Health system in React and Rails, enhancing the delivery of personalized healthcare. Your role includes setting architecture vision, establishing development best practices, contributing to projects technically, and improving the technical maturity of the team.

As a Senior Software Engineer, you will lead data engineering efforts, build scalable data pipelines, ensure data quality, and collaborate with product teams and data scientists. Responsibilities include managing datasets, mentoring engineers, and serving as a liaison between teams. Your role emphasizes adaptability, curiosity, and expertise in big data fundamentals.