Job Specifications
KAUKANA VENTURES
Kaukana Ventures is a start-up studio with deep expertise in AI and Data Science that focuses on four major areas : AI, Agriculture, Future of Work and FinTech Web3. We anchor our studio on solid technology foundations - Data Stacks - Web3 - NFTs - AI
We are looking for passionate and talented full-stack engineers who will have a strong impact on the quality and features of the solutions that we develop.
As we incubate and ramp-up new ventures and products on promising topics, our best-in-class engineers develop custom software to solve data & AI use cases for our start-ups. A recent example is the development of Agrisight, a unique deep tech platform to improve the agricultural supply chain efficiency, that is now a SaaS product offered to clients, with a fast-growing activity.
Our full-stack engineers play a strong role in the whole process of creating a solution: from system design to implementation, using current best practices and cutting-edge technologies, including training and running advanced machine learning and optimization model.
Our approach for data & software engineering
We believe very strong development standards are required to develop complex software. A great focus is put on static typing (e.g. TypeScript for front-end development, Pyright for type-checking Python code), infrastructure-as-code (Docker containerization), continuous integration and delivery (CI / CD pipelines).
We build our solutions on top of the most advanced and capable open-source software, to which we contribute by either issue reporting or pull requests.
Every software engineer is free to use the coding tools she/he is the most comfortable with, whether on MacOS X or Linux, with VSCode or Vim.
Visit our website : https://kaukana-ventures.com/
YOUR ROLE
Your activities will cover the whole software engineering process, from algorithmic efficiency to ergonomic and valuable data visualizations. You will have to resort to your business sense to find the right answers to business problems.
You will identify the best technology fit, and design the best architecture, to meet our start-ups' expectations, and act with strong DevOps affinity to produce robust and efficient implementation.
Technologies and practices are constantly evolving, you will need to keep yourself up-do-date to take our software and solutions to the next level of robustness, security and scalability.
YOUR EXPERTISE
Demonstrated self-learning capabilities
Good knowledge of data structures (e.g. arrays, stacks, queues, hash tables, trees, heaps) and common algorithms (e.g. sorting, searching, hashing)
Basic knowledge of machine learning and optimization algorithms in production
Programming experience in JavaScript (preferably using Flow or TypeScript), ideally with a knowledge of React
Programming experience with Python and with a statically typed back-end language
Experience with relational databases (e.g. MySQL, PostgreSQL, Oracle) with a great understanding of query execution plans
Ideally a good knowledge of Cloud providers (e.g AWS, Azure, OVH, GCP) and docker containers
Ideally a good knowledge of the common CI / CD tools (e.g. Git, Travis, Jenkins)
Basic knowledge of Linux and system administration duties
WHAT WE OFFER
A very dynamic, diverse and inclusive company culture
An enriching, fast-paced development experience, diving into some of the most strategic and challenging issues of our start-ups
Learning directly from the most senior and experienced members of the team
Attractive compensation
Tickets Restaurants every working day (including when remote)
Flexible Work from Home policy
Reimbursement of 50% of your Pass Navigo
About the Company
Emerton is a global high-end strategy consulting group, with offices in New York, Paris, London, Munich, Hong Kong and Tokyo. Emerton works globally with Fortune 500 corporations, top-tier private equity funds, PE-backed companies and technology leaders. Emerton Data provides globally tailor-made AI consulting services and help companies accelerate their end-to-end AI transformation journey.
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