Noogata-Senior Python Engineer

About The Position

noogata is revolutionizing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. noogata’s technology allows enterprises to deploy prefabricated solutions for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. noogata is looking for world-class engineers, data scientists and product professionals to join us and build our product and grow our vision.  

noogata is a Team8 portfolio company, backed by leading VCs with an exciting vision and a great early start in our market. If you are a world-class engineer looking to join the core R&D team and build amazing software please apply.  

Responsibilities

• Part of our core engineering team developing our AI automation technology. End to end ownership (from architecture to deployment) of core microservices in our technology stack.
• Build and own robust 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 architecture
• 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.
• Automate, Scale and Secure !

Requirements:

• 5+ years development experience in backend and data-engineering in Python or equivalent
• A fast learner and generalist – While you are a backend developer at heart, you enjoy and like working on different parts of the stack to get things done  
• Experience working with Big data technologies (BigQuery, Kafka, Spark, Dask, Beam) at scale
• Experience working in Docker/Kubernetes in production
• Experience with cloud platforms (GCP, AWS, Azure), working on production payloads of large scale and complexity.  
• Experience in working on enterprise software and data products. Knowledge/experience with machine-learning technologies a big advantage
• Experience in working in an Agile/SCRUM-like environment with cross-functional engineering teams