Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead the architecture and development of backend platforms, REST and GraphQL APIs, service integrations, security patterns, and AI/LLM integration capabilities. Build observability and reliability infrastructure, contribute to full-stack features using TypeScript and Next.js, and establish engineering standards across the team. Ensure HIPAA-compliant handling of PHI while owning complex systems from architecture through production operations.

Own end-to-end UI/UX design for complex clinical and care-facing digital products, including discovery, workflow design, information architecture, interface design, prototyping, research, usability testing, and pixel-perfect delivery. Contribute to scalable design systems, accessibility, health literacy, privacy, and regulatory requirements. Collaborate with product, engineering, and clinical stakeholders while incorporating AI-assisted design tools and designing human-in-the-loop workflows.

Build and deploy full-stack healthcare features using TypeScript, React, and Next.js. Develop accessible, trustworthy interfaces for AI-generated clinical content, integrate APIs, manage client state, contribute to component libraries and design systems, and implement HIPAA-compliant data handling. Collaborate with engineers, product managers, and designers through code, architecture, and design reviews. Own features from design handoff through production deployment.

Build and maintain production LLM features, including RAG systems, prompt pipelines, agent workflows, and AI services. Develop Python or TypeScript backend APIs, evaluation frameworks, monitoring, deployment automation, and MLOps tooling. Ensure HIPAA-compliant handling of health data while participating in architecture, code reviews, and engineering standards. The role requires autonomous work in a greenfield environment and collaboration on clinical AI applications.

Design and lead backend platform services, REST and GraphQL APIs, integrations, security patterns, HIPAA-compliant PHI controls, AI/LLM integration, observability, and reliability infrastructure. Contribute to end-to-end full-stack features using TypeScript, Next.js, and React. Establish architecture standards and reviews while supporting scalable services used by healthcare teams and patients.

Lead end-to-end architecture and production operation of AI systems, including LLM clinical tools, RAG pipelines, agent workflows, and intelligent automation. Evaluate and fine-tune foundation models, build model and agent evaluation frameworks, and ensure safety, accuracy, clinical relevance, HIPAA compliance, and responsible AI governance. Partner with product, design, clinical, and data teams to translate care-delivery workflows into impactful AI features.

Leads and mentors software engineers while remaining hands-on in full-stack application design, coding, architecture, testing, debugging, and code review. Oversees modernization across Microsoft and Azure environments, including APIs, integrations, Dynamics 365, and DevOps platforms. Drives cloud adoption, technical debt reduction, reliability, security, CI/CD, automation, monitoring, and responsible AI-assisted development. Partners cross-functionally to deliver compliant healthcare technology and prepare legacy systems for enterprise migration.

Designs, implements, and supports secure Azure and GCP DevOps platforms, CI/CD pipelines, Kubernetes environments, GitOps workflows, and developer self-service capabilities. Owns enterprise tools including JFrog, Argo CD, SonarQube, LaunchDarkly, GitHub, and runners. Leads software supply chain security, vulnerability remediation, compliance, automation, platform modernization, incident response, and L3 support while partnering with cybersecurity teams.

Supports Humana’s Product Security program by triaging and adjudicating vulnerability findings, assessing application security risks, and providing remediation guidance. Partners with engineering, architecture, and cybersecurity teams on secure SDLC practices, SAST, SCA, secrets detection, risk acceptance, and security exception workflows. The role also develops operational documentation, runbooks, and escalation processes while improving enterprise application security posture.

Lead IT due diligence and end-to-end integration for M&A, divestitures, JVs, and investments. Develop integration strategies, Day 1 plans, budgets, risk mitigation, governance, and stakeholder communications across applications, infrastructure, cloud, cybersecurity, data, vendors, and IT teams to realize synergies and value.