Top Software Engineer Jobs in Kansas City, MO

Develop and deliver Power Apps, Power Automate, Power BI, data visualization, and Microsoft 365 solutions for an Army customer. Engage customers to define requirements, manage expectations, document technical solutions, conduct user acceptance testing, create training resources, and provide project status updates. Build model-driven and canvas applications, automate business processes, support data modeling and visualization, and maintain integrations across the Power Platform ecosystem.

Develop and maintain Salesforce applications for Veterans Benefits Administration, including requirements mapping, Apex and Lightning development, MuleSoft integrations, API development, testing, deployment, troubleshooting, documentation, and sustainment. Lead technical solutions, review team code, support Agile delivery, and collaborate with technical and non-technical stakeholders across the development lifecycle.

Leads global engineering teams and multiple EPM product lines through legacy modernization, SaaS and multi-tenant development, AI-enabled software delivery, customer-facing AI feature development, and operational excellence. Owns engineering strategy, quality, reliability, DORA outcomes, security, budgets, vendors, staffing, and organizational transformation while delivering reliable finance applications and cloud migrations.

Build performant, accessible front-end interfaces for AI agents, dashboards, conversational user interfaces, and visualization tools. Collaborate with designers, AI engineers, and backend developers to create scalable components, optimize cross-browser experiences, and iterate on UX using testing, feedback, and usage data.

Own end-to-end technical delivery for enterprise SitecoreAI and XM Cloud implementations. Lead discovery, architecture, development, QA, releases, client communication, and project delivery. Guide headless Next.js teams using React and TypeScript on Vercel or Netlify, ensure accessibility, SEO, performance, and security standards, and mentor developers. Support estimates, proposals, account growth, reusable solutions, and AI-assisted engineering practices.

Own and evolve Thrive Global’s enterprise identity platform, including sign-up, authentication, authorization, user identity management, and integrations with enterprise identity providers. Independently deliver complex projects, partner with Product and stakeholders, maintain reliability, participate in on-call and incident response, and ensure secure, scalable systems using modern identity protocols and credential-management practices.

Software Engineering Interns contribute to production TypeScript backend features, applied AI and computer vision pipelines, and end-to-end deployments to active mining sites. Responsibilities include using LLMs, AWS Rekognition, TensorFlow, Kubernetes, and CI/CD; translating user challenges into product features; and collaborating closely with senior engineers and leadership. The role is fully remote and emphasizes ownership, autonomy, and shipping real-world software.

Leads an engineering team developing and operating secure integrations with third-party systems and an integrations marketplace. Responsibilities include technical direction, delivery planning, architecture, API and data synchronization design, authentication, reliability patterns, CI/CD pipelines, observability, production troubleshooting, partner coordination, and applying AI to integration development and support.

Build and operate WISEcode’s food data lakehouse using Python, SQL, DuckLake, S3 Parquet, Postgres, and Prefect. Responsibilities include source ingestion, entity resolution, pipeline consolidation, data enrichment, downstream connectors, data quality reporting, configuration discipline, and architectural documentation. The role requires designing and shipping production lakehouse or warehouse systems, managing scalable API-driven pipelines, and collaborating closely with engineers in a fully remote environment.

Leads Clever’s engineering organization and technical strategy, overseeing architecture, execution, production systems, organizational design, recruiting, and leadership development. The role remains technically hands-on through architecture and code reviews, debugging, production support, and direct contribution. It also drives AI-assisted engineering, modernization of legacy systems, engineering productivity, and close collaboration with Product and executive leadership.