Analyst [Java] Backend Developer

Role: Analyst [Java] Backend Developer

Company: Saatvik Agro

About the Role

Saatvik Agro is the agro-ingredient unit of Saatvik Group, specializing in high-quality maize-based ingredients. This is a full-time, on-site opportunity based in Morena, Madhya Pradesh, India. The role is suitable for fresh graduates and technology professionals interested in Java backend development.

Key Responsibilities

• Develop, test, integrate, maintain, troubleshoot, and improve Java-based backend applications, services, APIs, databases, internal platforms, enterprise systems, automation solutions, and digital tools.
• Collaborate with software, IT, data, analytics, operations, production, supply chain, finance, sales, and other business teams.

Requirements & Tech Stack

• Core Java
• Object-oriented programming concepts
• Data structures, algorithms, collections, exception handling, interfaces, inheritance, polymorphism, abstraction, multithreading, concurrency
• Clean coding practices
• REST APIs
• JSON, HTTP/HTTPS, web services
• SQL and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Redis)
• Microservices architecture (exposure beneficial but not mandatory)
• Spring Boot, Spring Framework, Spring MVC, Spring Data JPA, Hibernate (familiarity beneficial)
• Database design, normalization, joins, indexing, transactions, schemas, CRUD operations, queries, query optimization, data-access concepts (understanding advantageous)
• Maven, Gradle, Git, GitHub, version control, branching, pull requests, code reviews, debugging
• JUnit, Mockito, TestNG, Postman (exposure beneficial)
• Kafka, RabbitMQ, Redis, caching, message queues, asynchronous processing, scheduled jobs, background processing, event-driven architecture (exposure considered an advantage)
• AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD (exposure beneficial)
• Linux, command-line tools, application deployment, environment configuration, logging, monitoring, production-support concepts (basic understanding advantageous)
• OAuth, JWT, role-based access control, secure coding, input validation, API security, encryption, authentication, authorization (familiarity beneficial)
• Application performance optimization, database tuning, connection pooling, caching strategies, scalability, reliability, fault tolerance, observability, troubleshooting (exposure advantageous)
• ORM technologies, repositories, persistence layers, entity relationships, transactions, backend data-access patterns (familiarity beneficial)
• Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, sprint planning, issue tracking (familiarity advantageous but not mandatory)
• Good analytical, logical, debugging, troubleshooting, and problem-solving skills.
• Good communication, documentation, collaboration, and teamwork abilities.
• Ability to understand business and technical requirements and translate them into practical, reliable, scalable, maintainable, and secure Java backend solutions.
• Strong willingness to learn new Java technologies, backend frameworks, databases, APIs, cloud platforms, testing tools, and modern software-engineering practices.
• Willingness to work in an on-site environment.

Qualifications

• B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Software Engineering, Computer Applications, Data Science, Artificial Intelligence, or a related discipline.
• Freshers and experienced candidates are strongly encouraged to apply.
• Candidates without previous full-time Java backend-development experience can also apply.
• Internship, academic project, Java project, Spring Boot project, backend project, API project, database project, microservices project, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution will be considered but is not mandatory.
• Exposure to frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React, Angular, or Vue.js will be beneficial but is not mandatory.
• Exposure to automation, data engineering, analytics, AI/ML, generative AI, ERP, CRM, dashboards, reporting systems, or enterprise applications will be considered an additional advantage.