Software Engineer, Java

Saatvik Agro

Morena, Madhya Pradesh, India0–5 yrs17m agovia LinkedIn

About the Role

Saatvik Agro is seeking a Software Engineer - Java for a full-time, on-site opportunity in Morena, Madhya Pradesh, India. This role is suitable for individuals interested in Java software development, backend engineering, application development, REST APIs, databases, microservices, cloud technologies, enterprise applications, automation, and modern software-engineering practices.

Key Responsibilities

  • Develop, test, integrate, maintain, troubleshoot, and improve Java-based applications, backend services, APIs, databases, enterprise platforms, automation solutions, and internal 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
  • Spring Boot, Spring Framework, Spring MVC, Spring Data JPA, Hibernate (or similar Java frameworks)
  • REST APIs, JSON, HTTP/HTTPS, web services
  • SQL, MySQL, PostgreSQL, SQL Server, Oracle (or similar relational databases)
  • MongoDB, Redis (or similar NoSQL databases)
  • Microservices architecture, distributed systems, service-oriented architecture
  • Maven, Gradle, Git, GitHub, version control
  • JUnit, Mockito, TestNG (or similar testing frameworks)
  • Kafka, RabbitMQ (or similar messaging systems)
  • AWS, Microsoft Azure, Google Cloud (or similar cloud platforms)
  • Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD
  • Linux, command-line tools
  • OAuth, JWT, role-based access control
  • Application performance optimization, database tuning, caching strategies
  • ORM technologies
  • Agile, Scrum, Jira

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.
  • Basic to good knowledge of Core Java and object-oriented programming concepts.
  • Understanding of data structures, algorithms, collections, exception handling, interfaces, inheritance, polymorphism, abstraction, multithreading, concurrency, and clean coding principles.
  • Basic to good understanding of REST APIs, JSON, HTTP/HTTPS, web services, authentication, authorization, API integration, and system integration.
  • Understanding of database design, normalization, joins, indexing, transactions, schemas, CRUD operations, queries, and query optimization.
  • Exposure to microservices architecture, distributed systems, service-oriented architecture, scalable applications, or event-driven systems.
  • Familiarity with Maven, Gradle, Git, GitHub, version control, branching, pull requests, debugging, code reviews, and collaborative software-development workflows.
  • Exposure to JUnit, Mockito, TestNG, Postman, unit testing, integration testing, API testing, or automated testing.
  • Exposure to Kafka, RabbitMQ, Redis, caching, message queues, asynchronous processing, scheduled jobs, or event-driven architecture.
  • Exposure to AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, or similar cloud and DevOps technologies.
  • Basic understanding of Linux, command-line tools, application deployment, environment configuration, logging, monitoring, and production-support concepts.
  • Familiarity with OAuth, JWT, role-based access control, secure coding, input validation, API security, authentication, authorization, and encryption concepts.
  • Exposure to application performance optimization, database tuning, connection pooling, caching strategies, scalability, reliability, observability, and troubleshooting.
  • Familiarity with ORM technologies, repositories, persistence layers, entity relationships, transaction management, and backend data-access patterns.
  • Exposure to frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React, Angular, Vue.js, or Next.js.
  • Exposure to automation, data engineering, analytics, AI/ML, generative AI, ERP, CRM, dashboards, reporting systems, or enterprise applications.
  • Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, sprint planning, or issue tracking.
  • 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 software solutions.
  • Willingness to work in an on-site environment.
  • Strong willingness to learn new Java technologies, frameworks, databases, APIs, cloud platforms, testing tools, and modern software-engineering practices.

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