full stack developer for agriculture applications

EPAM develops enterprise software products, open source solutions, accelerators, and AI solutions. This role supports transformative agriculture-sector applications for field trialling and in-field decision-making.

• Develop, enhance, and maintain web applications using ReactJS, Java, and Spring Boot;
• Build reliable microservices architecture adhering to RESTful API and HTTP standards;
• Collaborate with cross-functional teams to simplify user journeys and optimize system performance;
• Design and implement serverless solutions using AWS Lambda, API Gateway, DynamoDB, and other AWS services;
• Ensure real-time data availability and improve application usability for field scientists;
• Write clean, modular code aligned with Java standards and best practices;
• Follow Agile/Scrum methodologies to deliver software solutions in iterative cycles;
• Implement CI/CD pipelines and automation-first principles with GitLab, Docker, and Terraform;
• Create and maintain API documentation using OpenAPI/Swagger standards;
• Conduct TDD-driven development covering unit, integration, and contract testing;
• Focus on data quality within application designs, ensuring accurate inputs and reference harmonization;
• Future-proof technical design to support evolving data analytics needs;
• Design, build, and deploy AI-enabled solutions using Java technologies;
• Lead the implementation of business-critical features powered by AI;
• Contribute to all phases of the AI Software Development Life Cycle, including solution design, prompt engineering, model integration, evaluation, monitoring, deployment, and continuous improvement;
• Stay updated on the latest trends in Java and AI technologies.

• 3+ Years of experience in Java development, including Java 17+;
• Proven experience implementing the AI Software Development Life Cycle with a maturity level of 2.5+;
• Background in Spring Boot and/or Quarkus development;
• Proficiency in ReactJS and React Query for dynamic and responsive UIs;
• Expertise in RESTful APIs and microservice architecture based on HTTP standards;
• Knowledge of AWS serverless architecture, including DynamoDB, Lambda, API Gateway, SQS/SNS, and containers;
• Understanding of SQL and non-relational databases;
• Experience with clean code practices and modular design principles;
• Familiarity with CI/CD pipelines, GitLab, and Agile/Scrum methodologies;
• Competency in TDD, including unit, integration, and contract testing;
• Ability to create comprehensive API documentation using OpenAPI/Swagger;
• Ability to work with Terraform, Docker, and other DevOps tools;
• Qualifications in solution design, prompt engineering, and model integration;
• Familiarity with the evaluation, monitoring, deployment, and continuous improvement of AI solutions;
• Ability to communicate effectively in written and spoken English at B2 level;
• Nice to have: advanced CI/CD customization, OpenLayers for geospatial data visualization.

• No conditions specified