Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead and operate CI/CD pipelines and cloud infrastructure using IaC (Terraform/ARM/CloudFormation) across Azure/AWS/GCP. Automate provisioning, monitoring, and scaling; implement logging and alerting (App Insights, Splunk, Datadog, Prometheus); enforce security and compliance; partner with dev/QA/security/release teams; troubleshoot production incidents and perform root cause analysis.

Develop, test, debug, and maintain software applications and tools using Agile methodologies. Participate in design, architecture, and build phases; evaluate compatibility with existing communications hardware/software; resolve problems and roadblocks; collaborate with internal and external peers and managers; work as both individual contributor and team member to deliver high-quality deliverables.

Design, develop, and maintain scalable Java/Spring Boot backend and Angular frontend applications. Build microservices, RESTful APIs, event-driven solutions with Kafka, implement fault tolerance (Hystrix/circuit breakers), observability (SLI/SLO), and deploy on Kubernetes/AWS. Collaborate with cross-functional teams, mentor junior developers, and ensure reliability and performance.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

Build and maintain Java Spring Boot microservices and serverless functions. Design RESTful APIs, integrate with Vue.js front-end, write unit tests (JUnit/Mockito), deploy containerized apps to AWS EKS and Lambda, and maintain CI/CD pipelines for reliable releases.

Design, develop, and maintain scalable full-stack web applications using React, NestJS, TypeScript, and Node.js on GCP. Architect REST APIs and microservices, model NoSQL data with Firebase/Firestore, implement CI/CD and deployment automation, ensure security and performance, conduct code reviews, troubleshoot production, and collaborate on technical design.

Lead design, build, and maintain scalable ML infrastructure and CI/CD pipelines. Collaborate with data science and operations teams to deploy containerized models (Docker/Kubernetes), optimize cloud resource usage and security, apply IaC (Terraform), and mentor junior engineers.

Lead data transformation and modernization efforts to move data from legacy data warehouse and SQL Server reporting into an Enterprise Financial Data Lake. Gather and document business and technical requirements, perform data analysis, participate in design with squads and developers, translate technical needs for non-technical stakeholders, and support CI/CD automation. Work in an Agile environment to improve systems and productivity.