Top Tech Jobs & Startup Jobs in Charlotte, NC

Serve as a hands-on Scrum Master and agile coach to raise squad maturity, remove systemic impediments, improve backlog readiness and value delivery, foster psychological safety, drive continuous improvement using data, partner with Product Owners, and support scaling and consistency across multiple squads.

Design, develop, and execute automated API tests; perform manual and automated UI testing; write and run SQL queries to validate data; collaborate with developers to resolve defects; maintain test plans, cases, and scripts; participate in code reviews and improve testing processes and methodologies.

Serve as a hands-on Scrum Master and agile coach for multiple squads: improve agile maturity, remove systemic impediments, drive continuous improvement with data, partner with Product Owners, foster psychological safety, and support scaling initiatives for predictable, high-quality delivery.

Design, develop, and maintain server-side APIs and network components using Node.js/NestJS. Ensure database performance (MongoDB), caching (Redis), security, testing (Jest), and API documentation (Swagger). Collaborate with front-end teams, run diagnostics, fix defects, document processes, and recommend technical improvements.

Build and maintain server-side logic, databases, and AWS cloud integrations using Python and Java. Design scalable APIs, optimize performance and security, implement cloud-native architectures, and produce technical documentation for high-availability, distributed systems.

Lead technical design and implementation of Pega decisioning solutions (CDH), manage full application lifecycle, integrate Pega with external systems, tune performance, ensure compliance, mentor Pega program team, and drive continuous improvement of decisioning logic.

Design and scale end-to-end data pipelines and RAG architectures for LLM consumption: ETL/ELT, vector databases, chunking/embeddings, data cleaning/PII removal, metadata engineering, low-latency streaming, and evaluation/versioning to support agentic AI.

Lead architecture and implementation of scalable, secure software systems. Mentor engineers, translate product requirements into technical specs, drive SDLC and CI/CD, perform code reviews, solve complex engineering problems, and optimize processes for reliable production delivery.

Design, build, and scale production Generative AI systems: multi-agent orchestration, advanced RAG with vector databases, LLM integration and fine-tuning, scalable FastAPI backends, Dockerized deployment, monitoring, and GenAI optimization for latency, cost, and reliability.

Lead Adobe Analytics architecture and MarTech ecosystem design, implement data layers and tagging across web and mobile, ensure QA and privacy compliance, enable reporting and audience activation, and drive cross-functional measurement and governance for personalization and optimization.