Full Stack Engineer in Roosh

You will be a part of the core technology team and help us to build fast prototypes (PoC), support data scientists with creation of models API, integrate UI with backend API. You should have a strong problem-solving ability and be in love with a true R&D lifestyle.

Responsibilities:

● Continuously learn new technologies and apply them in daily work.

● Work closely with product designers, researchers, data scientists, data engineers to identify project needs and build needed frontend and backend to demonstrate an idea on PoC or MVP stage.

● Deploy and support the project in different infrastructures (cloud/on premises),

● Help to connect backed infrastructure with wrapped models API.

Requirements:

● front-end development: Django, React/Angular/Vue/D3, Html/CSS, Scss, Less, various CSS theme

● back-end development: Python/Node.js, Django, Flask, Sanio, etc.

● mobile app development: React-Native/Flutter/Expo/Build fire

● webrtc: Jitsi/Janus/zoom

● database development: MySQL, Postgres, MongoDB, SQLite

● product management, deployment, CI/CD: Git, Jenkins, AWS, GCP, Heroku, Firebase

● devops culture: docker, kubernetes, prometheus.

Would be a big plus:

● Experience with cross platform mobile development.

● Experience with deployment to the cloud

● Experience to work with a couple of ideas in parallel.

● Previous experience in R&D projects.

О компании Pawa

Pawa is not your average VC or incubator. We are both and much more.

Our venture studio builds, funds, and scales up startups. We act as founding investors for entrepreneurs and help with talent recruitment, product development, and day-to-day operations. We have an all-star team of entrepreneurs and ML experts, a capital of US$500k per project, and a network of industry pros.

We can connect young founders with tech companies’ top managers, influential entrepreneurs, European and US investors, as well as renowned ML scientists and researchers. If all the above sounds exciting to you, let’s build the next big thing in machine learning together.