Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead design and implementation of automated testing solutions and QA strategies. Build scalable automation frameworks, integrate tests into CI/CD pipelines, collaborate with cross-functional teams, and drive quality improvements across the software development lifecycle.

Operate and monitor ML/AI models and agentic systems in production. Build AI observability, logging, tracing, and evaluation pipelines. Monitor LLM outputs, detect drift and model degradation, and maintain data/feature pipelines. Develop CI/CD, model versioning, experiment tracking, and automate alerts and incident remediation while collaborating with data scientists and platform teams.

Designs and executes automated and manual tests, develops test strategies, creates/maintains automation scripts, manages test data and plans, runs regression and performance tests, reports defects and metrics, and liaises between business testers and development teams.

Lead design and delivery of enterprise Pega BPM/Case Management solutions for financial services. Implement Pega Infinity (24.x+), Constellation/Cosmos, perform upgrades, integrate with RDBMS/Oracle and AWS/Pega Cloud, and support deployment, decisioning, connectors, and frontend scripting. Collaborate with stakeholders in Agile delivery.

Lead data strategy, architecture, and governance. Design and oversee data lakes, warehouses, and ETL/ELT pipelines. Support analytics, ensure data quality/security/compliance, evaluate data technologies, and mentor a team of engineers, analysts, and scientists.

Design, develop, test, release, and maintain high-performance React web applications and APIs. Collaborate with product, design, backend, and QA teams; write reusable code and unit/integration tests; implement CI/CD and automated testing; mentor junior developers and troubleshoot performance across browsers and devices.

Lead full‑stack development of enterprise web and middle‑tier applications for financial advisors using Angular/TypeScript and Java/Spring. Design, implement, test, and deploy features in an Agile Scrum team, driving CI/CD, cloud (AWS) deployments with Docker, Kubernetes, and Terraform, while mentoring engineers and collaborating with business stakeholders.

Lead architecture and delivery of Java-based microservices, define standards, mentor engineers, collaborate with stakeholders on technology roadmap, ensure scalability, resilience, monitoring, CI/CD, and data governance for large-scale production systems.

Build and deploy generative AI solutions: develop production-grade Python code, LLM-based systems, agent frameworks, RAG pipelines with vector databases, APIs, cloud deployments, and MLOps practices while ensuring model evaluation, guardrails, and observability.

Design, build, and scale high-performance Java/Spring Boot microservices and event-driven systems using Apache Kafka. Develop secure REST APIs, deploy containerized apps on AWS EKS, integrate with AWS services, and ensure quality via testing, performance tuning, and CI/CD.