Pessoa Desenvolvedor Back-end Senior (AI Advocate)

Accountabilities: Back-end Development: Design, develop, and maintain robust, high-performance back-end applications using Java and the Spring ecosystem, building RESTful APIs and reliable integrations between systems. AI Advocacy and Adoption: Promote the exploration and adoption of AI-powered tools and solutions across development workflows and products, identifying opportunities to improve productivity, quality, and innovation. Architecture and Technical Decisions: Contribute to architectural design and technical standards, working with distributed systems, microservices, and event-driven architectures to ensure scalability and resilience. Code Quality and Testing: Maintain high engineering standards through automated testing, code reviews, clean coding practices, and continuous improvement of software quality. Technical Problem-Solving: Collaborate with multidisciplinary squads to investigate and resolve complex software engineering challenges, providing technical guidance and sharing best practices. Cloud-Native Performance: Monitor, troubleshoot, and optimize application performance, reliability, and availability in cloud environments. DevOps and Delivery: Support modern software delivery practices, including containerization, CI/CD pipelines, and collaboration between development and infrastructure teams. Continuous Innovation: Evaluate emerging technologies and AI-assisted development practices, helping teams integrate effective solutions into their day-to-day work and deliver greater business value. Requirements Professional Experience: Extensive experience in back-end software development, with the technical maturity to contribute to complex solutions and architectural decisions. Java and Spring: Strong proficiency in Java 11 or later, Spring Boot, and the broader Spring ecosystem. APIs and Distributed Systems: Hands-on experience designing and developing RESTful APIs, microservices, and distributed software architectures. Artificial Intelligence Tools: Practical familiarity with AI tools, concepts, and development workflows, including RAG, BMAD, APM, Devin, Claude, GitHub Copilot, and Hive or comparable solutions. Cloud Computing: Experience developing and operating applications in cloud environments, preferably AWS. Databases and Messaging: Solid knowledge of relational and NoSQL databases, along with messaging technologies such as Kafka, RabbitMQ, or equivalent platforms. Containers and DevOps: Strong experience with Docker, Kubernetes, DevOps practices, and CI/CD pipelines. Automated Testing: Experience creating and maintaining automated tests using frameworks such as JUnit and Mockito. Analytical and Collaborative Skills: Strong problem-solving abilities, initiative, clear communication, and a collaborative mindset, with the ability to support teams, influence technical decisions, and adapt to evolving engineering challenges. Benefits Remote-first work: Freedom to work remotely, with flexible working hours and an emphasis on autonomy and responsibility. Health coverage: Medical and dental insurance. Telemedicine: 24/7 access to telemedicine services. Mental health support: Free online therapy. Fitness and well-being: Access to Wellhub. Financial benefits: Meal and food allowances, life insurance, transportation allowance, and a home-office allowance. Family support: Childcare allowance, extended maternity leave, and extended paternity leave. Professional development: Education allowance and access to an internal career development platform. Learning and collaboration: Internal guilds, study groups, and communities of interest for sharing technical knowledge and developing skills. Communication support: Mobile phone allowance. Performance incentives: Profit-sharing program (PLR). Employee assistance: Access to a dedicated employee support and assistance center.