Java (Cloud & Reactive Systems) at Mineral

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Strong hands-on experience with Java 17+
Experience building modern APIs (REST / OpenAPI)
Good understanding of containerization (Docker, Kubernetes)
Experience with Kafka
Knowledge of SQL and NoSQL databases
Experience with Gradle as a build tool
Hands-on experience with Azure Cloud services
Working knowledge of GitHub Actions, CI/CD
Familiarity with observability tools (logs, metrics, tracing)

Responsibilities

Design, build, and maintain backend services using Java 17+
Implement and optimize REST and OpenAPI-based services
Work with Kafka for event-driven and streaming architectures
Develop microservices with containerization, Azure, and modern cloud patterns
Use SQL & NoSQL databases efficiently for scalable data access
Implement reliable testing using Test Containers
Contribute to CI/CD workflows using GitHub Actions
Work with GraphQL (GQL) endpoints where required
Ensure strong observability via monitoring and logging frameworks (Dynatrace experience is a bonus)
Collaborate closely with cross-functional teams to deliver high-quality, production-grade systems

Skills

Key technologies and capabilities for this role

Java 17+RESTOpenAPIKafkaDockerKubernetesAzureSQLNoSQLGradleGitHub ActionsCI/CDTest ContainersGraphQLProject ReactorRxJavaDynatrace

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

The position is hybrid, with remote-first flexibility mentioned as a benefit.

What are the must-have skills for this Backend Engineer role?

Must-have skills include strong hands-on experience with Java 17+, building modern APIs (REST/OpenAPI), containerization (Docker, Kubernetes), Kafka, SQL and NoSQL databases, Gradle, Azure Cloud services, GitHub Actions CI/CD, and observability tools.

What is the company culture like at Mindera?

Mindera has a collaborative, engineering-driven culture in an Agile, Lean environment where the whole team owns projects together, encouraging risk-taking, decision-making, and open communication.

What salary or compensation is offered for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates with strong hands-on experience in the must-have skills like Java 17+, Kafka, Azure, and CI/CD, plus nice-to-haves such as reactive programming, Test Containers, GraphQL, or Dynatrace, will stand out.

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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