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    Python Software Developer - Bogotá, Colombia - HEMAV Technology

    HEMAV Technology
    HEMAV Technology Bogotá, Colombia

    hace 1 semana

    Default job background
    CDI
    Descripción

    At HEMAV we are an AgriTech StartUp founded in 2012 working passionately on Data Science in the agrifood industry with the purpose of generating more food with less environmental impact.

    We use a unique approach, based on Artificial Intelligence using satellite technology and other data sources (drone, meteo, soil, etc.). Users of our technology leverage their decision-making systems on information and knowledge generated on a field-by-field basis, with customized per-user models.

    The HEMAV family is currently composed by a team of around 40 persons with offices in Spain, Brazil, Argentina and the USA. We have around 50 regional partners
    distributed between more than 17 countries in Europe, America and Africa. More than 5.000 users have access to the platform with service in 2 million Hectares.

    HEMAV values are:

    • Teamwork: We are a familiy and 'fly and process' together
    • Passion: We wake up every morning to change the world
    • Simplicity: Less is more. Technology should simplifies our lives, not complicates it
    • Excellence: We pursue our best version and learn from our values
    • Integrity: What you see is what we are
    • Innovation: We have a creative attitude against challenges

    LAYERS, our software, offers analytics to the agricultural sector with a large
    direct impact. For example, clients can improve the efficiency in treatments (sowing, fertilization, irrigation, etc.) and generate estimations in yield (tonnes per hectare), as well as quality estimates (e.g. soybeans protein quantity) for different crops. We know that producers, the agroindustry itself, or even insurance companies and traders in the agronomical sector are facing three main challenges, with a large impact in their gross margin:

    · Crop Management

    · Production yield and logistics

    · Economical yield

    . Climate change risk assessment

    LAYERS helps minimize these risks through a high-quality continuous monitoring and predictions. We want to make LAYERS the core of all the yield-related
    decisions in the agribusiness value-chain using data and statistics. Our slogan is

    "Reshaping the future increasing land efficiency"

    The LAYERSProduct Team is the main area of the company, where 14 persons are distributed in three squads: BackEnd, Data Intelligence, and UX/UI. Three-four weeks sprints are combined with sprint demos where all the company is updated with the
    news in the product by all the members of the product team.

    Some of the things you should consider when joining our team are:

    · Young and friendly environment

    · Flexible work-hours

    · 100% remote work

    · Flexible remuneration system that adapts the salary to your needs

    · Extra holidays

    LAYERS, is composed of a web-app and also a mobile-app. Our software constitutes the heart of the customer ecosystem where data analysis and prognosis is presented in an analytical and insightful web dashboard formats. Thanks to this, our customers can monitor their crops and perform better business decisions in their agro-industrial companies.

    Tareas

    Position

    What is your mission in HEMAV?

    The main goal of this position is to work in the development of new areas of the LAYERS backend under DDD philosophy with special care to the interaction among microservices.

    Tasks

    Specifically, this person will:

    • Develop the functionalities of an API with Python according to business needs.
    • Interact with DynamoDB (Non-relational database)
    • Deploy different functionalities of this API in microservices.
    • Set up a publish and subscribe system within Amazon (AWS SNS + Lambda functions)
    • The entire solution must be Dockerized.
    • Last but not least, it will be necessary to provide adequate test coverage (unit tests and integration tests).

    Responsibilities and functions:

    · Work on tasks related to LAYERS Core development, together with other experts on different fields and technologies, to develop and deploy tools and techniques that allow HEMAV to extract the maximum value for the users.

    · Join agile liturgies such as user stories refinement, sprint planning, daily meetings, product reviews and retrospectives.

    Contact point with internal stakeholders in punctual cases related with developments carried out.

    Time

    · The estimated time for this project collaboration is 4~6 months. Based on the results of those first months, a permanent contract will be considered at the end of the period.

    How will this role be evaluated?

    · Personal goals established with the manager

    · Team goals established with the Product Owner

    . Company goals

    Location: Colombia contract - 100% Remote Work

    We are very happy with asynchronous work, however we belief in teamwork and peer programming.

    Anyway, if you come to the BCN (Spain) area you will always be welcomed at the office :-).

    Requisitos

    Technical Skills

    • Professional Python software development (2 years minimum)
    • Git
    • Docker
    • Cloud Technologies

    Nice to have:

    • RUST
    • Cloud technologies AWS Lambda, Kubernetes, Terraform
    • Web3 experience
    • RabbitMQ (or similar)
    • DevOps mindset CI/CD
    • Unit testing / integration testing
    • DDD and clean architectures + dependency injection.

    Soft Skill

    • Fluent Spanish/English
    • Team player
    • Agile methologies: comfortable working with user stories, and liturgies.
    • Result-oriented
    • Quality-oriented
    • Autonomous
    • Benchmarking of new techniques and technologies related to the position
    • Challenge lover
    • For contractual reasons, we need to invoice a professional registered in Colombia (at the contractual level), but this person can be working from anywhere in the world.
    • The salary estimation will depend on the individual's profile and experience, with the minimum duration being 4 - 6 months and the maximum to be determined. For this reason, a monthly salary estimation has been provided.
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