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90 Nielsen Sports Jobs
STAFF SOFTWARE ENGINEER
Nielsen Sports
posted 6mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Build software and integrations in a cloud-based microservices environment (kubernetes) for big data applications with Spark, Ray, etc.
- Writing software in python, typescript, go, Java and Scala
- Work 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, 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 (ALBs, web api proxies) cluster ingression and security using kong and istio, python-based web servers and modern web transfer protocols like websockets and http3.
- 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
- Typescript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, ray, tensorflow, CUDA
- Apache Spark, Istio, Scala, Java, Go, kong, cloud software design, containerized microservices distributed caching.
- Experience with machine learning (RNNs, CNNs, random forest, LLMs) a plus
Employment Type: Full Time, Permanent
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