Top Tech Jobs & Startup Jobs in Charlotte, NC

The Engineering Manager will lead the Network Services and Insights team, overseeing global network infrastructure, simplifying user experience, and managing software engineering teams to deliver robust solutions.

Lead a team of data engineers to build high-scale, reliable processing systems for the Ads domain while ensuring data privacy and security.

The Human Data Operations Manager will design annotation workflows for ML, establish data benchmarks, and partner with cross-functional teams to enhance evaluation processes.

The Software Engineer will architect scalable graph solutions, manage data governance for large datasets, and develop cloud-based applications in the ad tech space.

As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

Develop and maintain distributed systems for Netflix, promoting high availability, scalability, and performance while mentoring engineers and building robust infrastructure.

Design, develop, and deploy scalable systems for content production at Netflix, collaborating with multiple teams to enhance efficiency and resilience.

Collaborate with data scientists and engineers to maintain large-scale machine learning models in production, implementing best practices for deployment and monitoring.

The role involves building and operating scalable ads-related systems, processing real-time data for measurement and reporting, and developing robust monitoring and auditing systems.

The UI Engineer will build and optimize advertising systems, focusing on UI/UX design, fullstack development, and working with REST APIs in a cloud environment.