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The Senior Software Test Engineer at Nielsen is responsible for reviewing software requirements, preparing and executing test scenarios, analyzing test results, and interacting with clients. The role involves leading efforts in software quality assurance, utilizing automation test suites, and collaborating with various teams to ensure optimal testing processes.

The Software Engineer will enhance the Media Platform using open source and cloud-native software. Responsibilities include managing compute, storage, and data ingestion while applying DevOps practices, scaling applications, and ensuring code quality. The role demands innovative problem-solving within a collaborative environment at Nielsen.

As a Software Engineer at Nielsen, you will develop and enhance the Media Platform by utilizing open source and cloud-native software. Responsibilities include understanding open source internals, optimizing resources with Kubernetes, and implementing DevOps practices for high code quality and efficient deployments.

As a Software Engineer at Nielsen, you'll enhance the Media Platform by leveraging open source and cloud-native software, develop efficient resource management using Kubernetes, and employ DevOps practices for code quality and deployment. You’ll work with large-scale data ingestion and data science tooling in a collaborative team environment.

The Staff Software Engineer at Nielsen will develop and enhance workflows in a cloud-based microservices environment, focusing on big data applications and improving data science products through software builds, stakeholder collaboration, code reviews, and best practices enforcement.

The Staff Software Engineer will develop software interfaces with TV streaming providers, ensuring technical solutions from project onboarding to post-launch support. Responsibilities include building new features, implementing CI/CD pipelines, optimizing performance, mentoring junior engineers, and ensuring security compliance.

The Platform DevOps Engineer will leverage open source technologies, provide support for internal DevOps tools, diagnose scalability issues, refine metrics for production services, and drive adoption of best practices across teams.