Senior Java Backend AI Engineer

JobgetherSoftware engineering

Remote work opportunity in Brazil.Full-TimeSenior

Salary not disclosed

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Job Details

Required Skills: SQLJavaRabbitmqSpring BootApache KafkaNosqlRESTful APIsMicroservicesGenerative AI

Strong professional experience in backend software development using Java and Spring Boot.
Experience designing, developing, and maintaining RESTful APIs and scalable backend applications.
Knowledge of Generative AI, Large Language Models, and their integration into applications or development workflows.
Understanding of the software development lifecycle, software architecture, microservices, and common design patterns.
Experience with SQL and NoSQL databases and data-processing workflows.
Familiarity with messaging and event-driven technologies such as Apache Kafka or RabbitMQ.
Experience writing unit and integration tests using tools such as JUnit and Mockito.
Knowledge of code review practices, Clean Code principles, and software quality standards.
Experience with Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices.
Ability to investigate and resolve complex technical issues.
Ability to translate business requirements into reliable, maintainable technical solutions.
Ability to collaborate, communicate, and document effectively within an Agile team.

Design, build, and maintain backend systems and RESTful APIs using Java and Spring Boot.
Integrate Large Language Models and Generative AI capabilities into existing solutions.
Participate in planning, requirements analysis, architectural design, coding, testing, deployment, and maintenance.
Implement AI-powered coding tools and automation for code generation, automated testing, and technical documentation.
Refine requirements and collaborate with Agile teams on planning, estimates, and delivery.
Apply microservices architecture and design patterns while developing data flows with SQL and NoSQL databases and messaging technologies.
Write and maintain automated unit, integration, and end-to-end tests; participate in code reviews.
Work with Docker, Kubernetes, and CI/CD practices to support software integration and deployment.
Investigate and resolve technical issues involving application code, data, and production environments.
Maintain technical documentation, share knowledge, and follow software engineering best practices.

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