Nielsen Holdings plc is a global leader in audience insights, data, and analytics. The company specializes in media audience measurement and analytics, providing data on consumer behavior and media consumption across various platforms. Nielsen operates in over 100 countries and serves clients in the media, advertising, and consumer goods industries.
The posting states: 'Design and implement CI/CD pipelines for automated build, test, and deployment processes,' which is a strong indication that the company is actively planning to implement new CI/CD tools.
Responsibilities include 'Design and implement CI/CD pipelines for automated build, test, and deployment processes', which is a strong indicator of establishing a new CI/CD system.
CI/CD Implementation: 'Design and implement CI/CD pipelines for automated build, test, and deployment processes.' This indicates a strong intent to set up and possibly evaluate CI/CD tools.
The role involves building and managing cloud-based data pipelines and automating marketing performance reportingβclear infrastructure setup responsibilities that indicate implementation of new systems.
The role description clearly states: 'Evaluate, contribute to, and leverage open source technologies including Kubernetes, Trino, Spark, Airflow, Prometheus + friends, ELK, Jupyter, and more in order to create and enhance our internal SaaS/PaaS platforms,' which is a strong indicator of active evaluation and implementation of these tools.
The role requires the candidate to 'design and implement CI/CD pipelines for internal AI/ML models and applications' and 'build and maintain infrastructure as code using Terraform for AI workloads', which is a strong indication that Nielsen is actively implementing and setting up new CI/CD and infrastructure automation tools.
Design and implement CI/CD pipelines for internal AI/ML models and applications
Create monitoring, logging, and alerting systems for Nielsen's AI applications
The role involves architecting and leading the development of the Fulfillment Center, including building and enhancing a distributed tracing platform. This clearly signals the implementation of a new observability/monitoring system.
The posting states: 'Lead the design, development, and continuous enhancement of sophisticated CI/CD pipelines to automate the build, test, and deployment...' which is a strong indicator that the company is implementing and potentially selecting a CI/CD solution.
The role requires: 'Champion and implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible', 'Drive the strategy and implementation for containerization (Docker) and orchestration (Kubernetes β EKS, AKS)', and 'Establish and manage comprehensive monitoring, logging, alerting, and observability solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog).' This clearly signals active implementation of new platforms and systems.
The posting states: 'Lead the design, development, and continuous enhancement of sophisticated CI/CD pipelines to automate the build, test, and deployment of our media products and services' and later mentions expertise in CI/CD automation tools.
The job description includes a strong buying signal with: 'Establish and manage comprehensive monitoring, logging, alerting, and observability solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog)' indicating an active effort to implement these software tools.
Lead the design, development, and continuous enhancement of sophisticated CI/CD pipelines; expertise in CI/CD automation tools (e.g., Jenkins, GitLab CI, CircleCI, ArgoCD) indicates active implementation of a new deployment system.
Champion and implement Infrastructure as Code (IaC) principles using tools like Terraform, CloudFormation, or Ansible, showing intent to set up and possibly evaluate new DevOps solutions.
Drive the strategy and implementation for containerization (Docker) and orchestration (Kubernetes β EKS, AKS) of media-centric applications, demonstrating active implementation of container management platforms.
Establish and manage comprehensive monitoring, logging, alerting, and observability solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog) to ensure optimal performance and rapid incident response, indicating intent to implement new monitoring systems.