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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 Senior/Lead DevOps Engineer will work with international teams to optimize development processes, improve code quality and speed of delivery, and identify bottlenecks. Responsibilities include coding standardizations, process automation, environmental health checks, and collaborating with developers to enhance the overall development experience.

The Embedded Software Engineer will develop software for embedded devices, focusing on scalability, reliability, and cost-effectiveness. Responsibilities include creating automated test tools, quickly addressing field issues, building prototypes for validation, and communicating progress with stakeholders.

The Sr DevOps Engineer will implement new platform products, optimize costs, improve security, and mentor team members, leveraging cloud technologies and DevOps best practices to drive innovation and efficiencies within Nielsen's media operations.

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.