Software Engineer (Backend-Java)
NavaSalary not specified
Full Time
Senior (5 to 8 years)
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
Java 17+
REST
OpenAPI
Kafka
Docker
Kubernetes
Azure
SQL
NoSQL
Gradle
GitHub Actions
CI/CD
Test Containers
GraphQL
Project Reactor
RxJava
Dynatrace
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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