Top Tech Jobs & Startup Jobs in Charlotte, NC

The Senior Cloud Engineer will design, implement, and manage cloud infrastructure and governance while ensuring security and mentoring team members. They will automate processes, monitor system performance, and collaborate cross-functionally to enhance cloud capabilities.

The Knowledge Manager will develop and implement a knowledge management strategy for HR content, oversee content governance, and optimize service delivery across teams.

Lead the COAST transformation initiative by defining technical strategy, overseeing engineering teams, and ensuring seamless integration with business operations.

The Senior Actuary will manage life products, perform business reporting and pricing updates, analyze profitability, and collaborate with various departments.

The Senior Actuary (FSA) will enhance data governance and model integration, collaborating with teams to optimize data processes across products and improve actuarial data quality and usage.

The role involves financial planning, analysis, reporting, and collaboration with IT leadership to optimize costs and support budgeting processes.

The role involves developing and executing IT sourcing strategies, conducting spend analysis, supporting supplier negotiations, and maintaining accurate procurement data.

The Senior Infrastructure Architect II will design and implement scalable infrastructure solutions, ensuring compliance, security, and alignment with business objectives.

Manage user access across applications, systems, and infrastructure by granting/revoking permissions, enforcing least-privilege and zero-trust principles, performing audits, remediating access control issues, automating UAM processes, maintaining policies/procedures, partnering with business and technical teams, and producing metrics and communications to improve UAM maturity and compliance.

Design, develop, and deploy enterprise-grade AI solutions; build integrations (AI Gateway, orchestration, MuleSoft); apply DevSecOps; evaluate models, data quality, and bias; collaborate with architects, engineers, and stakeholders to operationalize and improve the AI platform.