Top Software Engineer Jobs in Kansas City, MO

Design, develop, and maintain a native IBM i connectivity agent for Redwood RunMyJobs. Responsibilities include job submission and monitoring, spool and queue handling, CL/RPG invocation, security integration, API connectivity, troubleshooting, performance and reliability improvements, architecture, code reviews, testing, documentation, and collaboration with product and engineering teams. The role also requires validating AI-assisted solutions against authoritative IBM i documentation.

Modernize legacy .NET and C# systems by reducing technical debt, refactoring monoliths into microservices, and re-platforming applications onto AWS cloud-native architectures. Build APIs, containerized services, infrastructure as code, and modern data migration workflows. Apply AI-assisted development tools for code analysis, refactoring, testing, and documentation while promoting simplicity, observability, scalability, and sound engineering standards.

Lead the engineering department, develop and empower engineers, establish systems and guardrails for reliable delivery, improve workflows, maintain technical involvement, and set metrics that drive productivity and impact. The role partners closely with Product, supports high-impact decisions, and builds a culture of trust, psychological safety, ownership, and clear communication.

Lead the technical direction, architecture, and development quality of complex Android applications. Mentor engineers, integrate backend services, support offline-first functionality and diverse hardware, oversee CI/CD and releases, and document engineering standards. The role also involves robotics integrations for public safety use cases, including drones and body-worn cameras, while collaborating with technical and non-technical stakeholders.

Leads the ISSI platform engineering organization, owning strategy, execution, budgets, staffing, roadmaps, technical standards, and delivery across multiple teams. Manages engineering leaders, individual contributors, and offshore vendors while partnering with executives on priorities and outcomes. Oversees scalable, secure software delivery, architecture governance, hiring, performance management, process improvement, and adoption of emerging technologies including generative AI.

Develop and support RPGLE applications on IBM iSeries/AS400 platforms. Responsibilities include designing, coding, testing, debugging, maintaining legacy applications, writing CL programs and embedded SQL, optimizing DB2 performance, translating business requirements, and documenting technical solutions within an Agile SDLC environment.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Develop and enhance Power Platform applications, workflows, dashboards, reporting, and data visualization solutions for a federal acquisition office. Gather requirements, translate user needs into functional solutions, document processes, support deployment and troubleshooting, and optimize system performance. Provide federal acquisition and contracting support, including market research, acquisition strategy, PWS and IGCE development, CLIN recommendations, contract monitoring, performance assessments, and invoice processing.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.