Team8 Published: December 23, 2019
Job Type
Level of education
High school
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


noogata is an early-stage startup with a mission to help large enterprises evaluate, build and implement machine-learning-based applications. We are well funded (part of the Team8 startup foundry) and while we’re just getting started, we’re already engaged with some of the world's largest organizations in packaged-goods, retail and insurance on their machine-learning initiatives.

We’re looking for brilliant, creative, ambitious, fun-loving engineers and data-scientist. If you’re all that and looking to lead, invent and grow professionally you should definitely consider applying to join us on our journey!

*Calling all great Python Engineers*

We are looking for experienced python full-stack engineers to lead architecture and development work on our data science platform.

Your role will include:
- Building backend infrastructure (APIs, microservices, processing jobs) to streamline the data workflow of large datasets for machine learning purposes.
- Design system architectures, select/evaluate tools and open source projects to use within our environment
- Be a leading part in the development of our enterprise-grade machine learning technology platform and ecosystem
- Participate in our Agile, delivery-focused development process.


- 5 years experience with backend/server engineering in Python (or equivalent)
- Experience working with Big data technologies (BigQuery, Kafka, Spark, Dask, Beam) at scale
- Experience working in Docker/Kubernetes. If you're familiar with Helm, Kubeflow, Pachyderm or similar Kubernetes tools that's a big plus
- Experience with cloud platforms (GCP, AWS, Azure), working on production payloads of large scale and complexity.
- Experience in working on enterprise software, security or data products
- Big Advantage: Hands-on experience with data science tools and frameworks
- A hands-on software craftsman with a passion for data and scalable, reliable backend software
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