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Nielsen - Software Engineer - Full-stack

3 months ago


Bengaluru, Karnataka, India timesjobs Full time
###

Position: Software Engineer - Full-stack

Location: Bangalore, India

Technology: Other

Employment Type: Full Time

Work Arrangement: Hybrid


Nielsen Global Media uses cutting edge technology and industry leading data science to tackle some of the hardest problems in marketing science.

Were automating our models with artificial intelligence and machine learning to produce the same quality insights as a traditional white-glove consulting engagement at unparalleled speed and scale.


Intelligence Studio is a horizontally scalable, cross-cloud technology agnostic platform built with trusted open source components like VS Code, Apache Airflow, Jupyterhub, and MLFlow.

It allows data scientists to focus on doing data science by taking care of essential concerns like data access, logging, configuration, resource negotiation, dependency management, orchestration, and testing.

Were looking for a Staff Software Engineer to help our talented, cross-functional team improve user workflows in Intelligence Studio. Ideal candidates will be hands-on technologists with experience in Python, Kubernetes, Distributed Systems, AWS or Azure cloud infrastructure. This position is a fantastic opportunity for an experienced engineer to work with creative engineers and cutting-edge technologies.

### Responsibilities

  • Build software and integrations in a cloudbased 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 crossfunctional 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, Pythonbased web servers and modern web transfer protocols like WebSockets and HTTP3.
### Qualifications

  • Bachelors degree in Computer Science or a related technical field, or equivalent industry experience