Top Tech Jobs & Startup Jobs in Charlotte, NC

Provide L2/L3 support and enhancements for Microsoft Dynamics workloads; build and maintain Azure Functions and integrations; manage CI/CD with Azure DevOps; triage and remediate cloud vulnerabilities daily; support DR readiness, performance tuning, and controlled releases to production.

Senior AWS Analytics Engineer. Posting contains no detailed responsibilities or qualifications beyond the job title.

Design and deploy enterprise-grade generative AI systems across the 7-layer stack, select and fine-tune models, build LLMOps pipelines and observability, integrate with cloud platforms and APIs, enforce data protection, manage hallucinations, lead technical strategy, and act as onshore client technical liaison.

Prepare, review, and send outgoing audit letters; monitor delivery confirmations and reprocess failures; handle chats and email correspondence; escalate issues, report system/workflow problems, and comply with HIPAA and quality/productivity standards to support the audit process.

Handle escalated inbound calls and provider communications, research payer systems for refund/claim questions, log and return voicemails, monitor email/chats, escalate issues, meet quality/productivity standards, and comply with HIPAA.

Senior Business Analyst for insurance data and systems: elicit and document business/functional requirements, create BRDs/FRDs and user stories, perform SQL-based data analysis and source-to-target mappings, support testing (SIT/UAT), collaborate with stakeholders, data engineers, QA and delivery teams across end-to-end Agile project lifecycle.

Lead technical delivery for Life Insurance and Annuity clients: design solutions and architectures, produce technical design docs, mentor distributed teams, drive code quality and integrations (APIs), maintain mainframe and .NET codebases (COBOL, C#, DB2/SQL), and leverage AI tools (GitHub Copilot, Claude Code, custom agents) for automation and efficiency.

Lead data engineering teams to design, build, and maintain scalable cloud-native data pipelines, data platforms, and data products using Snowflake, Databricks, Airflow, and modern architectures. Optimize ETL/ELT, SQL, and transformations for analytics, reporting, and AI use cases; ensure data quality, governance, observability, and stakeholder alignment. Produce documentation, runbooks, and present technical solutions to business and technical audiences.

Lead design and operationalization of enterprise data governance for insurance data across cloud and on-premises estates. Define operating models, stewardship, policies, data standards, quality frameworks, metadata/lineage, tooling, and MDM. Partner with business, actuarial, underwriting, claims, compliance, and tech teams to improve data trust, compliance, and reporting.

Design and deploy end-to-end Generative AI systems across the 7-layer stack. Select and fine-tune models, build LLMOps pipelines, implement observability, integrate with cloud platforms and APIs, enforce data protection, and lead stakeholder workshops to translate business needs into scalable, secure AI solutions.