Top Tech Jobs & Startup Jobs in Charlotte, NC

Support development and execution of business plan for Alt Placement Solutions, focusing on financial analytics and program strategy. Lead financial data analysis, modeling, and stakeholder engagement to inform decision-making and drive profitable growth.

Design and deliver AI-enabled solutions as a Staff Software Engineer, focusing on applications across HR and Law, ensuring robust integrations and cloud applications.

The Senior IT Engineer will lead full stack development projects focused on AWS, architecting APIs, mentoring junior engineers, and ensuring application performance and security.

The Senior Staff Software Engineer will lead quality engineering efforts, design test automation frameworks, mentor teams, and ensure high-quality delivery across systems.

Provide regulatory compliance support for Personal Insurance: serve as state regulatory lead, advise on product, rate/form filings, underwriting practices, manage inquiries, execute compliance audits, and coordinate with legal and business stakeholders to identify and mitigate regulatory risk and support major initiatives.

The Account Manager facilitates insurance placements for small businesses, managing relationships with brokers, providing policy advice, and achieving sales goals.

Lead the Personal Insurance modeling team, driving innovation in predictive modeling, machine learning, and actuarial analytics, while managing team performance and collaboration with cross-functional teams.

In this role, the Data Scientist will create and enhance statistical models and machine learning techniques for actuarial processes, collaborating with business partners to translate model results and drive business value.

Lead engineering teams in transforming Employee Benefits applications, develop software architecture in AWS, and mentor junior engineers while implementing best practices and standards.

Design, build, and operationalize production-grade ML and generative AI solutions and MLOps services. Collaborate with data, product, cloud, and architecture teams to deploy and monitor models in AWS and GCP. Implement CI/CD, IaC, workflow automation, and API services to ensure scalable, repeatable model deployments and observability.