Analista de Sistemas (Desenvolvedor Java)

New

BrazilFull-Time

Salary not disclosed

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Job Details

Advanced knowledge of Java and strong experience with Spring Boot.
Advanced experience with JPA/Hibernate and SQL Server or equivalent relational databases, including query optimization, distributed transactions, and conscious use of lazy loading.
Practical experience with asynchronous messaging systems such as RabbitMQ, including queue modeling, dead-letter handling, retries, and eventual consistency patterns.
Experience working with multi-module Gradle projects in medium or large-scale environments.
Strong Git experience in collaborative development workflows, including branching strategies, well-structured pull requests, and clean version history.
Ability to diagnose and resolve production issues using structured logs, stack trace analysis, and event correlation between services.
Experience designing and developing APIs and backend integrations.
Strong analytical thinking, problem-solving skills, and attention to software quality.
Ability to collaborate effectively with engineering teams and contribute to technical discussions.
Proactive use of AI tools in software development lifecycle activities and willingness to promote AI adoption within the team.
Higher education degree in Computer Science, Software Engineering, Information Systems, or related fields.

Support the technical development and continuous evolution of APIs within the payments ecosystem, including financial services, cards, transactions, processes, and partner integrations.
Collaborate with architecture teams to make technical decisions related to service design, domain modeling, API contracts, and integration strategies.
Act as a technical reference within the development team, supporting best practices and knowledge sharing.
Design and implement integrations with external systems and services.
Develop and maintain backend applications using modern Java technologies and scalable architectures.
Contribute to the definition of development standards, CI/CD pipelines, and observability practices.
Analyze and troubleshoot production issues by investigating logs, stack traces, and service interactions.
Support improvements in system performance, reliability, and maintainability.
Promote the adoption of AI-powered tools within daily development workflows and encourage their effective use across the team.
Collaborate with multidisciplinary teams to deliver high-quality software solutions aligned with business needs.

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