Noogata is an eCommerce analytics platform providing competitive intelligence to unlock eCommerce growth. 

We empower consumer goods and digital brands by streamlining multi-channel data to easily visualize, measure and take action with competitive A.I-powered insights.Why do global customers trust in Noogata? By automating and simplifying complex data, we help optimize sales, packaging, advertising, and marketing strategies they need to stay ahead of competitors and boost eCommerce ROI. Noogata’s powerful solution is already servicing household names, such as, Colgate-Palmolive, PepsiCo, Walmart, Focus Camera and many more.

Learn more at Noogata.com 

Noogata is looking for world-class full-stack engineers to join us and build the world's finest NoCode AI platform for enterprises.

Responsibilities

  • Part of our core engineering team developing our technology platform. You will be responsible for full-stack application development (front-end and backend)
  • Own microservices and components in our architecture, from design to production rollout and everything in between
  • Collaborate with design and product to define amazingly elegant user-experience for a complex data-driven enterprise product… then develop robust code to implement it!
  • Develop data visualizations and widgets to standardize core elements of our user-interface throughout our products
  • Participate in our Agile, delivery-focused development process. Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights to build our product and grow our vision.

Requirements

  • 5+ years development experience in application development on an enterprise software product
  • Full-stack by heart. Work seamlessly on frontend, APIs and backend application code
  • Experience with React and Typescript building enterprise software applications with great usability
  • Experience with NodeJS and/or Python or equivalent backend stacks
  • Experience working with databases (Postgres, MySQL), Queues/Streams (SQS, RabbitMQ, Kafka) and other “big data” tools (ElasticSearch, Spark/Dask, Snowflake)
  • Experience with cloud (GCP, AWS, Azure) and operating microservices in production

Advantages:

  • Experience with Kubernetes
  • Experience with pipeline technologies: Argo, Kubeflow, Perfect, Airflow
  • Experience working with and production monitoring tools (Prometheus, Logz, Datadog, Rollbar, Sentry, etc.)
  • Experience with modern enterprise software, including a passion for usability and an eye for elegant design
  • Love open-source and learning new technologies

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