Top Software Engineer Jobs in Kansas City, MO

Develop, deploy, maintain, and customize Oracle E-Business Suite applications and EDI integrations. Responsibilities include PL/SQL development, Sterling B2B process and mapping, technical design, requirements analysis, testing, deployment, production support, troubleshooting, reporting, forms development, and integration issue resolution. The role supports finance and supply chain modules, participates in a 24/7 on-call rotation, and collaborates with business analysts and stakeholders.

Leads and develops a team of mobile software engineers building NPR applications. Responsibilities include coaching, hiring, Agile delivery, technical planning, code and design reviews, workflow automation, production incident response, vendor coordination, and cross-functional collaboration. The role requires prior hands-on mobile engineering experience, proficiency in native iOS or Android technologies, release infrastructure, Git, and Agile/Scrum practices.

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead the architecture and delivery of scalable compliance-platform capabilities for government vendors, federal agencies, and SLED organizations. Design new workflows, shared infrastructure, and tagging systems while partnering with engineering, product, go-to-market teams, and early design partners. Translate evolving requirements into durable solutions, lead complex cross-functional projects, and help shape engineering culture in a rapidly scaling environment.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Design, develop, maintain, and support a large Salesforce environment across Sales Cloud and Service Cloud. Build Apex, Aura, and LWC solutions; implement Data Cloud and AgentForce capabilities; maintain integrations and data flows; troubleshoot production issues; create reports and dashboards; recommend automation; participate in architecture, testing, deployment, documentation, and code reviews; and enforce scalable Salesforce development practices.

Leads the day-to-day management and delivery of internal and partner engineering teams. Responsibilities include assigning work, unblocking engineers, maintaining scoped tickets in Linear, coordinating shared workstreams, shaping technical direction with product and engineering teams, managing performance and growth, and supporting hiring and team structure. The role also champions spec-driven development and AI-assisted engineering practices while managing distributed engineers across time zones.

Lead design-engineering for Thunderbolt by turning ambiguous AI product ideas into prototypes and production-ready front-end experiences. Build prototypes in the codebase, define AI interaction patterns, improve usability/accessibility, create reusable components and design-system elements, and partner with cross-functional teams to ensure enterprise readiness, security, and user trust.

Lead and scale MEDHOST’s software engineering organization, overseeing product delivery, modernization, security, reliability, scalability, and operational performance. Develop technology strategy and architecture roadmaps while driving AI-first transformation across products, engineering workflows, and enterprise operations. Establish performance metrics, govern technology investments, manage strategic initiatives, and advise executives on emerging technologies, risks, and opportunities. The role also requires implementing generative AI, machine learning, and AI governance within healthcare software environments.