Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and operate infrastructure software for Netflix’s Open Connect CDN. Responsibilities include developing microservices, designing orchestration for globally distributed appliances, creating fleet data models and APIs, and improving platform availability, scalability, observability, and reliability. The role requires hands-on architecture, implementation, debugging, and collaboration across engineering, networking, video, gaming, and operations teams.

Lead large-scale technical programs across Netflix’s infrastructure, AI, developer, or data platforms. The role partners with engineering, product, and executive stakeholders to define ambiguous problem spaces, create execution plans, manage dependencies and risks, influence technical roadmaps, and deliver scalable, secure, reliable GenAI and distributed-systems capabilities.

Lead the Compute Runtime team in building and operating Netflix’s large-scale cloud compute platform. Own Kubernetes data plane software, container runtime capabilities, container execution, and compute-node operating systems. Drive scalable, reliable, and efficient platform architecture, adoption, operational excellence, incident response, and cross-functional technical leadership. Guide technology strategy, evaluate emerging architectures and services, and contribute to open-source innovation.

Own the end-to-end development and launch of Sports product features across Netflix discovery and playback experiences. Partner with design, engineering, data science, marketing, content, and product teams to shape roadmaps, identify opportunities, define requirements, build business cases, run A/B tests, measure outcomes, and iterate. The role focuses on scaling live sports experiences, balancing complex tradeoffs, and driving alignment in an ambiguous, fast-paced environment.

Lead development and maintenance of internal design system libraries, tools, and Figma plugins. Implement AI solutions to speed design workflows, own medium-to-large features end-to-end, run internal user research, provide support and on-call coverage, conduct design and code reviews, and collaborate with designers and engineers to drive technical strategy and adoption.

Serve as Netflix Animation Studios’ founding data scientist, developing measurement frameworks, forecasting and scenario-planning models, dashboards, and data products for slate planning, production efficiency, workforce allocation, and strategic decision-making. Partner with studio leadership, data scientists, analytics engineers, and data engineers to establish data foundations, define metrics, analyze operational drivers, and translate complex findings into actionable recommendations.

Own security partnerships for Netflix Marketing and Animation, advising leaders on risk, GenAI adoption, access controls, content protection, architecture, and remediation. Lead risk assessments, business risk profiles, metrics, and pre-release content security initiatives. Support technical security due diligence for acquisitions and subsidiaries while translating complex security concerns into actionable business guidance across application, cloud, identity, and data domains.

Design and build scalable, secure, highly available revenue infrastructure for Netflix’s global financial workflows. Responsibilities include distributed data processing, financial data modeling, configurable pipelines, APIs, settlement, reconciliation, invoicing, and revenue partner systems. Collaborate with Product Managers, engineering teams, and Revenue Finance while independently delivering reliable solutions through complex cross-functional projects and test-driven development.

Own security partnerships for Customer Service and Creative Technology. Advise on GenAI and GenMedia security, customer data environments, cloud infrastructure, third-party tools, training data governance, and risk treatment. Build business risk profiles, drive remediation, report security posture, and support technical security due diligence for acquisitions and subsidiaries.

Design and analyze rigorous messaging experiments using A/B testing and causal inference. Build measurement frameworks, data pipelines, dashboards, automated analyses, and scalable data solutions for messaging campaigns. Partner with CRM, Product, Algorithms, and Engineering teams to translate ambiguous business questions into actionable recommendations and experimentation standards. Support messaging strategy across channels, timing, content, targeting, and new business verticals.