Top Tech Jobs & Startup Jobs in Charlotte, NC

Design intuitive, scalable B2B and B2B2C financial product experiences across the full design lifecycle. Create responsive prototypes and design-system components in Figma, collaborate with Product and Engineering, run usability testing, apply AI-assisted design tools, and ensure solutions meet business, technical, and regulatory constraints.

Designs, develops, tests, and maintains scalable software features and services across backend and frontend systems. Collaborates on architecture with engineering, product, QA, and DevOps teams; contributes to CI/CD, monitoring, testing, and operational reliability. Requires C#/.NET and API expertise, cloud platform familiarity, Docker, AI development experience, and strong communication and problem-solving skills.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

Design, deploy, and optimize SQL Server, PostgreSQL, and MongoDB databases across cloud and on-premises; tune queries and indices; manage backups, DR, failover testing; secure and monitor systems; handle migrations, replication, clustering, and troubleshooting.

Lead end-to-end development of AI-native financial products for credit union members. Use and improve AI agents, build features across a TypeScript stack, integrate with third-party APIs, monitor production, and partner with design and stakeholders to deliver reliable, scalable solutions.

Design, build, and run data-heavy features for financial products, improve data models, pipelines, migrations, and multi-tenant systems. Work in a TypeScript monorepo, operate serverless AWS infrastructure, integrate LLM APIs, monitor production, and lead pragmatic technical decisions.

Lead reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.

Design, implement, and maintain AI platform components (model serving, RAG, prompt management, evaluation). Build APIs, observability, and integration patterns; collaborate with product teams, mentor junior engineers, and enforce compliance and data-handling standards for regulated financial environments.