Staff Software Engineer

As a Staff Software Engineer at Nielsen, you will join a community that champions your success and provides opportunities for growth. You will be part of a talented, cross-functional team working on cutting-edge technologies to improve user workflows in Intelligence Studio. **Role Overview:** - Build software and integrations in a cloud-based microservices environment using technologies like Kubernetes, Spark, Ray, etc. - Collaborate with stakeholders to design and implement interfaces, workflows, and services that enhance the delivery of data science products. - Participate in team code reviews, enforce quality standards, and promote best practices in development and operations. - Design and develop data visualization tooling to enhance data exploration workflows for data science. - Integrate data science visualization and diagnostic tooling into existing distributed compute and development environments. - Build secure integrations with the Kubernetes API to manage user workloads in a shared environment. **Key Responsibilities:** - Write software in Python, TypeScript, Go, Java, and Scala. - Author clear and purposeful epics/stories within a cross-functional team. - Identify opportunities and weaknesses in the platform architecture. - Design and develop data visualization tooling using Electron, Jupyterhub, Plotly, TypeScript, and Pandas. - Integrate data science visualization and diagnostic tooling like TensorBoard, Ray Serving, and Spark History Server. - Understand and debug interactions between cloud networking components and cluster ingression. - Build secure integrations with the Kubernetes API for managing user workloads. - Promote and enforce best practices in development and operations. **Qualifications:** - Bachelors degree in Computer Science or a related technical field, or equivalent industry experience. - Proficiency in TypeScript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, Ray, TensorFlow, CUDA. - Experience with Apache Spark, Istio, Scala, Java, Go, Kong, cloud software design, containerized microservices, and distributed caching. - Experience with machine learning algorithms like RNNs, CNNs, random forest, LLMs is a plus. Join us if you are an experienced software engineer passionate about technology and eager to work on high-performance teams developing ambitious products. This is an opportunity to grow your career and technical depth by working with state-of-the-art big data and cloud technologies. As a Staff Software Engineer at Nielsen, you will join a community that champions your success and provides opportunities for growth. You will be part of a talented, cross-functional team working on cutting-edge technologies to improve user workflows in Intelligence Studio. **Role Overview:** - Build software and integrations in a cloud-based microservices environment using technologies like Kubernetes, Spark, Ray, etc. - Collaborate with stakeholders to design and implement interfaces, workflows, and services that enhance the delivery of data science products. - Participate in team code reviews, enforce quality standards, and promote best practices in development and operations. - Design and develop data visualization tooling to enhance data exploration workflows for data science. - Integrate data science visualization and diagnostic tooling into existing distributed compute and development environments. - Build secure integrations with the Kubernetes API to manage user workloads in a shared environment. **Key Responsibilities:** - Write software in Python, TypeScript, Go, Java, and Scala. - Author clear and purposeful epics/stories within a cross-functional team. - Identify opportunities and weaknesses in the platform architecture. - Design and develop data visualization tooling using Electron, Jupyterhub, Plotly, TypeScript, and Pandas. - Integrate data science visualization and diagnostic tooling like TensorBoard, Ray Serving, and Spark History Server. - Understand and debug interactions between cloud networking components and cluster ingression. - Build secure integrations with the Kubernetes API for managing user workloads. - Promote and enforce best practices in development and operations. **Qualifications:** - Bachelors degree in Computer Science or a related technical field, or equivalent industry experience. - Proficiency in TypeScript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, Ray, TensorFlow, CUDA. - Experience with Apache Spark, Istio, Scala, Java, Go, Kong, cloud software design, containerized microservices, and distributed caching. - Experience with machine learning algorithms like RNNs, CNNs, random forest, LLMs is a plus. Join us if you are an experienced software engineer passionate about technology and eager to work on high-performance teams developing ambitious products. This is an opportunity to grow your career and technical depth by working with state-of-the-art big data and cloud technologies.