Staff Software Engineer
1 month ago
We are seeking a highly skilled Staff Software Engineer to join our team at Nielsen Global Media. As a key member of our cloud engineering team, you will play a critical role in designing and building scalable, cloud-based solutions for our data science products.
Responsibilities- Design and develop cloud-based microservices using Kubernetes, Python, and other technologies.
- Collaborate with stakeholders and technical leadership to design and build interfaces, workflows, and services that enhance the delivery of data science products.
- Actively participate in team code reviews and enforce quality standards.
- Work within a cross-functional team to author clear and purposeful epics/stories.
- Promote and enforce best practices in development and operations.
- Identify opportunities and weaknesses in the platform architecture.
- Design and develop data visualization tooling using Electron, JupyterHub, Plotly, TypeScript, and Pandas to enhance data exploration workflows for data science.
- Integrate data science visualization and diagnostic tooling like TensorBoard, Ray Serving, and Spark History Server into an existing distributed compute and development environment.
- Build secure integrations with the Kubernetes API allowing the management of user workloads in a shared environment with potentially sensitive data.
- Understand and debug interactions between cloud networking components, cluster ingress, and security using Kong and Istio, Python-based web servers, and modern web transfer protocols like WebSockets and HTTP/3.
- You are an experienced software engineer with a proven track record of quickly learning and implementing new technologies.
- You love technology and are excited to work on a high-performance team building a very ambitious product.
- You are looking for an opportunity to grow your career and your technical depth by diving into a project working on the current state of the art in big data and cloud technologies.
- Bachelor's degree in Computer Science or a related technical field, or equivalent industry experience.
- Experience with TypeScript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, Ray, TensorFlow, CUDA, Apache Spark, Istio, Scala, Java, Go, Kong, cloud software design, containerized microservices, and distributed caching.
- Experience with machine learning (RNNs, CNNs, random forest, LLMs) is a plus.
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