Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs, builds, operates, and integrates workforce identity and access management solutions for employees, contractors, and partners. Responsibilities include federated authentication, provisioning and deprovisioning, identity governance, compliance, access management, vendor integrations, acquisition-related migrations, solution rollout, and cloud-based service operation. The role requires hands-on IAM expertise, strong communication, programming familiarity, CI/CD experience, and AWS experience.

Build and evolve Netflix’s shared JavaScript application platform, including internal CLIs, SDKs, CI/CD workflows, development tooling, monorepo infrastructure, deployment integrations, and supporting services. Improve platform observability, performance, reliability, and developer experience while partnering across teams, supporting users, defining interfaces, validating infrastructure changes, and providing technical leadership without direct management.

Build and architect scalable Android client code, UI frameworks, tooling, and server-driven UI architecture using Kotlin, Compose, GraphQL, and related technologies. Establish engineering best practices, automated testing, and modernization strategies; collaborate across client and server teams; influence architecture roadmaps; mentor engineers; and deliver forward-looking technical solutions with minimal supervision. The role supports Netflix experiences across millions of users and thousands of devices.

Build and maintain data models, pipelines, metrics, dashboards, and analytics supporting identity graph construction, entity matching, and identity resolution. Partner with engineering and data science teams to productionize matching logic, evaluate match quality, monitor data quality and drift, and manage identity-provider relationships. Translate complex identity concepts into actionable insights for technical and non-technical stakeholders while helping define privacy-conscious product and data priorities.

Administer and optimize Netflix’s global Workforce Management platform and integrations. Responsibilities include data validation, system configuration, user provisioning, licensing, Tier 1 troubleshooting, third-party tool integration, documentation, and process improvement. The role partners with Operations, Engineering, Data Science, Product & Technology, vendors, and other IT teams to maintain platform reliability, data integrity, security, and scalable workforce management solutions.

Lead research and development of generative AI and recommendation solutions for Netflix promotional assets and content discovery. Responsibilities include tracking LLM research, developing summarization and LLM-as-judge systems, training and evaluating models, optimizing generated content for audience impact, partnering with engineering teams, defining ML roadmaps, and communicating technical strategies to stakeholders.

Lead the Ads Signals & Measurement data engineering team across conversion and attribution, measurement foundations, audience onboarding, and identity. Set cross-organizational technical direction, resolve scalable data architecture decisions, mentor engineers, and partner on platform-wide initiatives. The role requires expertise in modern data stacks, advertising technology data flows, privacy and governance, distributed systems, and emerging AI technologies.

Own Talent’s knowledge governance strategy, taxonomy, information architecture, indexing, content lifecycle, and AI-readiness across a federated organization. Build standards, metrics, review rhythms, cross-business alignment, and AI-assisted content workflows. Partner with platform teams, guide business-unit adoption without direct authority, influence the Netflix Knowledge Platform roadmap, onboard additional business units, and establish the team needed to scale the function.

Sets technical direction and architectural coherence across Netflix’s Ads Data Engineering organization. The role guides cross-domain data system decisions, partners with engineering and business leaders, mentors data engineers, shapes platform-wide initiatives, and advances AI-native data engineering. Responsibilities span modern data foundations, ad-tech data flows, privacy and governance, platform migrations, scalable data products, and collaboration with Ads Platform Engineering, Data Science, and Product teams.

Develop and scale cloud-based media encoding pipelines supporting workflow orchestration, metadata publishing, task prioritization, and catalog management. Design distributed systems, write high-quality Java code, build automated tests, collaborate cross-functionally, and own projects from conception through production. The role supports streaming, advertising, broadcast television, video podcasts, and other media experiences.