Top Tech Jobs & Startup Jobs in Charlotte, NC

Support the design, development, and maintenance of data pipelines, workflows, and cloud-based data platforms. Build reliable data assets through ingestion, transformation, profiling, validation, monitoring, and data modeling. Collaborate with cross-functional teams to support analytics, reporting, automation, machine learning, and AI initiatives. Interns will gain experience with Python, SQL, ETL/ELT, Snowflake, cloud technologies, GitHub, and AI tools while receiving mentorship and professional development.

Software Engineer Interns will design, develop, test, deploy, and maintain applications and services in an Agile environment. They will collaborate with engineers, product owners, and stakeholders throughout the software development lifecycle; use programming languages, frameworks, databases, cloud technologies, and AI-powered tools; and apply problem-solving skills to improve performance, security, and customer experiences. The role includes mentorship, code reviews, documentation, presentations, and exposure to enterprise technology projects in the insurance industry.

Conduct reserve studies for General Liability and Excess coverages, evaluate reserve adequacy, and advise management on reserve decisions. Monitor portfolio performance, loss trends, claim activity, and actual results versus expectations. Partner with Claims and Pricing to develop business insights, improve data quality, and enhance actuarial processes, controls, governance, and monitoring tools. Translate complex actuarial analyses into clear recommendations and support ongoing process improvements.

Supports actuarial pricing and product strategy for Small Business commercial insurance. Responsibilities include developing rate indications, refining pricing segmentation, updating loss development factors and assumptions, analyzing deductibles and insurance limits factors, monitoring profitability, and supporting class plan rollouts. The role uses SQL, R, Python, Excel, and related tools to improve analytics, partners with underwriting and product teams, presents results to leadership, and mentors junior actuaries.

Architect and build production-grade agentic AI systems and platforms using Google ADK, MCP, LangChain/LangGraph, and AlloyDB. Develop agent harnesses, RAG/GraphRAG pipelines, vector retrieval and memory stores, Terraform-based GCP infrastructure, CI/CD for model deployments, and enterprise security and governance for sessioned agent interactions.

Lead design and delivery of scalable, secure software across full stack and cloud. Collaborate with product and architecture teams, mentor engineers, drive best practices, integrate AI-assisted tools, and participate in the full SDLC to ensure system stability and performance.

Lead infrastructure resilience for cloud and SaaS systems by implementing observability, IaC, CI/CD automation, incident triage and self-healing. Build tooling, alerts, AI-driven anomaly detection and runbooks, partner with architecture and infrastructure teams to improve reliability, performance, and security.

Lead development and maintenance of workers' compensation pricing methodologies and tools. Update model parameters, drive pricing initiatives, collaborate with underwriting/product/data science/IT, provide profitability analyses, and support implementation to improve accuracy, segmentation, and profitable growth across business segments.

Lead infrastructure resilience by implementing observability, IaC, automation, and AI-driven detection to ensure cloud and SaaS system stability. Drive tooling, alerts, self-healing, CI/CD optimization, incident triage/restore, and partner across architecture and engineering to improve performance, reliability, and cost efficiency.

Leads a team of software engineers and owns engineering and IT operations for an application portfolio. Provides technical direction on architecture, integrations, APIs, distributed systems, microservices, cloud technologies, security, performance, and stability. Partners with architecture and delivery teams, oversees technical solutions and deliverables, manages risks, drives continuous improvement, and develops engineering talent. The role also contributes to code quality, DevOps, automation, Agile delivery, and strategic technology transformation.