Top Tech Jobs & Startup Jobs in Kansas City, MO

Lead design, implementation, and troubleshooting of enterprise network and hybrid cloud infrastructure. Build and automate infrastructure-as-code (Terraform), mature observability (Datadog/Dynatrace/LogicMonitor), implement GitOps workflows (GitHub/GitHub Actions), script automation (Python/PowerShell), support incident response, and mentor peers to ensure scalable, secure, and auditable IT operations.

Lead strategy and execution of AI-driven customer support, optimize Zendesk and integrations, implement chatbots and agent-assist, improve self-service and knowledge management, measure performance, govern SOPs and training, and partner cross-functionally to scale support operations.

Own end-to-end growth features across the stack (TypeScript/Node.js backend, React frontend) to drive acquisition, conversion, retention and monetisation. Design architecture, run A/B experiments, instrument metrics, use AI-assisted tools in engineering workflows, mentor juniors, and iterate rapidly with PMs and designers.

Senior member of the Data & Analytics team who translates operational reporting requirements into Epic- and Qlik-based analytics solutions. Develops RW SQL reports, Radar dashboards, and self-service artifacts; validates data, mentors junior analysts, enforces best practices, supports intake/prioritization, and coordinates training and legacy-to-new-tool migrations.

Provide internal IT support and endpoint management for a fully remote workforce: provision and maintain macOS/Windows devices, enforce endpoint security, manage MDM/UEM and SaaS provisioning (Google Workspace, Slack, Atlassian), triage help desk tickets, maintain IT documentation, oversee vendor/licensing relationships, and partner on internal infrastructure and policy initiatives including AI tool governance.

Remote short-term contract to review, label, classify, and validate text data for LLM training. Follow detailed guidelines, ensure accuracy and consistency, identify edge cases, perform quality checks, and meet productivity standards while working independently.

Lead cloud and integration architecture end-to-end for production AI systems: design secure AWS-hosted services, define integration contracts and patterns, guide implementation, unblock developers, coordinate with client architects and vendors, maintain architecture governance and delivery progress.

Lead client workshops and discovery to map current/future-state processes, translate business needs into functional requirements and user stories, and produce clear process documentation. Partner with technical leads to hand off specs, use AI tools to accelerate deliverables, and travel onsite several times per quarter to support workshops and key milestones.

Lead end-to-end CMMC implementations, translating requirements into actionable plans, coordinating internal and external stakeholders, guiding customers on CUI/FCI handling, SSPs and POA&Ms, evidence collection, remediation tracking, and readiness. Build repeatable playbooks, deliver training, improve handoffs, and feed product and process insights back to the organization.

Conduct research to evaluate and improve forecasting and agentic LLM web research. Formulate open problems, devise innovative solutions, build evaluations, benchmarks, and datasets, publish findings, and collaborate with frontier labs to improve AI epistemics and decision-making.