Senior (Java 21) Backend Engineer at Mineral

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Strong hands-on experience with Java 17+ (Java 21 preferred)
Proven expertise with Spring Boot 3.x.x and microservices architecture
Solid understanding of REST APIs, service design, and integration patterns
Strong database skills: SQL Server (queries, optimization, stored procedures) and MongoDB (schema design, indexing)
Experience with Redis for caching solutions
Practical experience implementing Kafka as a messaging platform
Working knowledge of Kubernetes, preferably AKS in Azure
Experience using GitHub for version control, branching strategies, and CI/CD
Good understanding of cloud-native principles, monitoring, and logging
Strong problem-solving abilities and ability to work in an Agile environment

Responsibilities

Design, develop, and maintain backend services using Java 21 and Spring Boot 3.x.x
Build and consume RESTful APIs following best practices
Develop robust data models and queries for SQL Server as well as document-based structures in MongoDB
Implement caching layers using Redis to improve system performance
Integrate and manage Kafka for event-driven and message-based communication
Build, deploy, and manage microservices on Kubernetes (AKS)
Use GitHub for version control, code reviews, and CI/CD workflows
Collaborate with product and engineering teams to define architecture and deliver solutions that meet performance, reliability, and security standards
Participate in code reviews, technical discussions, and mentoring of junior developers

Skills

Java 21

Spring Boot 3.x

RESTful APIs

SQL Server

MongoDB

Redis

Kafka

Kubernetes

AKS

GitHub

CI/CD

Microservices

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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