Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead and grow a data engineering team; define architecture and standards for ETL/ELT pipelines; hands-on design, code review, and development; ensure production reliability, monitoring, and incident response; partner with product and engineering on data roadmap.

Serve as the primary post-implementation technical partner for assigned institutional clients, ensuring data completeness, governance, and timely reporting. Support reporting cycles, advise on complex structures, surface client feedback to Product/Data, lead portfolio reclassification and special projects, and drive renewals and upsell opportunities while coordinating across Services, Support, Sales, and Product.

Lead Revenue Operations to drive revenue predictability and GTM productivity. Own planning, forecasting, territory design, KPI reporting, compensation/quota design, and sales enablement. Partner with GTM leadership and present strategic recommendations to executive leadership while also working hands-on with forecasting models and operational processes.

Maintain and enhance Azure cloud infrastructure to ensure 99.9% availability, optimize costs through automation, ensure scalability and performance, and maintain compliance with security standards (e.g., ISO 27001). Collaborate with dev and ops teams and support cloud-service CSAT goals.

Lead client relationships and delivery of portfolio data, performance reporting, and reconciliations for institutional clients. Manage SLAs, resolve escalations, support data quality using investment data/reporting platforms, and drive process improvements while mentoring analysts and building team capabilities.

Configure and deploy Solovis software for institutional clients, gather requirements, design solutions, manage projects to time and budget, deliver client training, maintain billable utilization, and ensure high customer satisfaction through proactive problem solving and data-driven decisions.

Provide Tier 2 technical support for a portfolio management SaaS platform: troubleshoot and resolve complex technical issues, review code to isolate problems, document solutions, produce knowledgebase articles, collaborate with development, services, customer success and sales, and maintain high customer satisfaction and communication standards.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Own and ship end-to-end production features using agentic development. Build and operate multi-agent workflows, validate agent output, work in brownfield and greenfield environments, pair with engineers to spread agentic practices, and maintain long-term quality and reliability of systems.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.