Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead end-to-end enterprise experience strategy: identify opportunity areas, conduct qualitative and quantitative research, set strategic direction and success metrics, partner with product and engineering, leverage AI and design tools for concepting, and produce executive-ready recommendations while contributing hands-on design artifacts as needed.

Lead performance testing efforts: design and execute load tests, analyze results, perform root cause analysis, collaborate with developers and infrastructure to improve system performance, establish performance testing practices, create test artifacts, and generate management reports.

Lead UX design efforts using Figma to create wireframes, prototypes and design systems. Drive data-informed decisions, conduct user research and usability testing, present to stakeholders, facilitate workshops, integrate design standards into engineering workflows, explore AI tools to enhance UX, and ensure clear handoffs and documentation for end-to-end user workflows.

Lead architecture and implementation of Java Spring Boot microservices for scalable, resilient cloud-native systems on GCP. Define best practices, design APIs and event-driven services, ensure observability, security, and CI/CD, mentor teams, and collaborate with DevOps and product to drive architectural consistency and cloud optimization.

Lead execution of B2C/B2B product roadmaps, prioritize backlogs, collaborate with UX, developers and stakeholders, perform data analysis, troubleshoot performance issues, influence cross-functional teams, prepare product documentation, and drive continuous product improvements to meet customer and business objectives.

Lead design and architecture of AEM solutions, define standards and integrations, mentor teams, oversee migrations/upgrades, ensure performance/security, and support AEM CI/CD and DevOps.

Lead systems analyst within an agile data squad to gather requirements, perform data analysis and mapping, modernize data platforms, validate data using SQL/Python, support ETL initiatives, and produce technical specifications and documentation for database projects.

Lead architecture, design, and delivery of Generative AI and ML solutions. Build scalable ML pipelines, LLM and RAG-based applications, vector DB integrations, and agent workflows. Drive MLOps, CI/CD, observability, security, and enterprise model orchestration. Provide technical leadership, mentor engineers, run Agile development, and shape AI strategy through POCs and platform innovation.

Design and implement Java/Spring Boot backend microservices for notification routing, preference sync, webhook ingestion, and batch jobs. Build Pub/Sub consumers with concurrency controls, retry/DLQ, and idempotency; process Avro payloads with schema validation and transformation; integrate with Listrak and internal APIs; implement resilience features and support performance tuning and troubleshooting.

Design and own an end-to-end, agentic AI content generation platform using .NET and Azure. Architect event-driven agents, RAG pipelines with Azure OpenAI and Cognitive Search, integrate third-party and WordPress APIs, ensure multitenancy, security, observability, and CI/CD with IaC. Collaborate with DevOps to deliver scalable, auditable content automation.