Top Tech Jobs & Startup Jobs in Charlotte, NC

Supports end-user systems, identity and access platforms, endpoint devices, SaaS applications, Office 365, and core IT services in a distributed cloud-first environment. Responsibilities include Helpdesk escalation, onboarding and offboarding, MDM administration, troubleshooting Mac and Windows systems, documentation, process improvement, system deployments, basic scripting, and occasional on-call support.

Leads account management for a limited portfolio of high-profile PBM clients, overseeing client satisfaction, retention, escalations, onboarding, and relationship development. Manages and mentors account managers and coordinators, partners cross-functionally, improves service processes, and develops procedures and job aids. Requires PBM, health plan, benefits consulting, or healthcare experience, strong communication, data-handling ability, and travel up to 25%.

Build and maintain Snowflake data models using dbt and orchestration tools, improve data quality and observability, define data contracts, and support a modular healthcare data platform. Collaborate with analysts, data scientists, and software engineers to deliver trusted datasets. Monitor and troubleshoot pipelines, optimize Snowflake performance and costs, participate in design reviews, document systems, and support governance, security, and privacy standards for healthcare data.

Leads analytics projects, develops recurring executive and firm-wide reports, analyzes healthcare and pharmacy claims data, and translates complex findings into actionable business insights. The role ensures data integrity, documentation, compliance, and quality controls while partnering cross-functionally with stakeholders. Responsibilities include building reports and visualizations, improving reporting methodologies, supporting process automation, presenting to leadership, and mentoring team members.

Facilitates Scrum events, coaches development teams, supports agile adoption, resolves impediments and conflicts, and drives continuous improvement. The role tracks velocity, capacity, predictability, and team health metrics; supports backlog management, roadmap development, release forecasting, and workflow automation; and promotes lean, iterative software delivery across teams and stakeholders.

Build and maintain highly available, scalable, secure platform infrastructure and automation. Develop CI/CD pipelines, infrastructure-as-code, Python tooling, and AWS serverless services. Administer Kubernetes and databases, implement observability, optimize performance, and enforce security and compliance standards including HIPAA, FISMA, SOC 2, and FedRAMP. Collaborate with development, security, and product teams, support Agile delivery, and participate in a 24/7 production on-call rotation.

Manages workforce operations for utilization management call centers, including real-time monitoring, queue and schedule management, staffing adjustments, adherence tracking, forecasting, attendance reporting, and workforce management system accuracy. Produces operational reports, maintains historical performance data, coordinates training schedules, resolves system issues, advises on hiring needs, and supports service-level and customer-experience improvements.

Design, develop, and productionize machine learning and generative AI systems for document understanding, search, Q&A, virtual agents, and RAG applications. Build Python backend services, APIs, multi-agent architectures, retrieval infrastructure, and CI/CD pipelines. Manage the full ML lifecycle, evaluation, testing, telemetry, deployment, and troubleshooting while collaborating with cross-functional teams and maintaining healthcare data security and HIPAA compliance.

Supports risk management for client performance guarantees by maintaining PG data, reconciling reporting sources, building dashboards, analyzing contractual compliance and risk trends, and coordinating governance activities. Partners with Legal, Finance, Analytics, and Client Services to improve data quality, document lifecycle processes, track risk events, support audits, and execute cross-functional process-improvement initiatives.

Design, develop, and productionize machine learning systems for document understanding, search, Q&A, GenAI, virtual agents, and RAG applications. Build Python backend services, AI APIs, multi-agent architectures, retrieval infrastructure, and CI/CD pipelines. Manage the full ML lifecycle, including training, validation, deployment, telemetry, A/B testing, and automated evaluation. Collaborate cross-functionally while ensuring scalable, secure, HIPAA-compliant healthcare solutions.