[Remote] Senior Java with Kotlin Backend Developer at Mineral

Casablanca, Casablanca-Settat, Morocco

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Requirements

Candidates must have a strong backend engineering background in Kotlin or Java, with a willingness to learn Kotlin. Familiarity with Micronaut or similar frameworks like Spring Boot is required, along with experience working in Identity teams focusing on authentication, authorization, SSO/OAuth. A proven track record of leading complex engineering projects and strong problem-solving, analytical, communication, and teamwork skills are essential. Experience with IAM platforms, identity/security standards, cloud platforms, DevOps practices, CI/CD pipelines, and Agile development environments are considered nice to have.

Responsibilities

The Senior Java with Kotlin Backend Developer will work in an Agile and collaborative environment, taking ownership of the technical aspects of development and building high-quality software systems. They will design and implement robust and scalable backend solutions using Kotlin or Java, contributing to the entire software development lifecycle including requirements gathering, design, coding, testing, and deployment. The role involves contributing to the growth and success of the team, mentoring junior developers, and working with cutting-edge technologies.

Skills

Kotlin

Java

Backend Development

Micronaut

Spring Boot

Identity Management

Authentication

Authorization

SSO

OAuth

Problem-Solving

Communication

Analytical Skills

Teamwork

IAM Platforms

Okta

Auth0

Keycloak

ForgeRock

OpenID Connect

JWT

SAML

MFA

Cloud Platforms

Azure

AWS

GCP

DevOps

CI/CD

Agile Development

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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