Back-End Engineer (Java-Spring)

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, develop, maintain, and continuously improve robust backend applications and RESTful APIs using Java and the Spring Boot framework.
• Build and evolve scalable microservices architectures, applying sound engineering principles to deliver reliable and maintainable production systems.
• Deploy, manage, and scale backend services on AWS using Docker and Kubernetes for containerization and orchestration.
• Integrate production-grade Large Language Models, including technologies such as Claude, OpenAI, or Gemini, into backend workflows and intelligent product features.
• Design and manage data layers using both SQL and NoSQL technologies, ensuring performance, reliability, and scalability.
• Take end-to-end ownership of features, guiding them from architecture and implementation through deployment, monitoring, troubleshooting, and production debugging.
• Collaborate with cross-functional and international teams to deliver high-quality software while maintaining strong standards for architecture, testing, reliability, and maintainability.
• Contribute to technical documentation and effective communication in English across development activities, meetings, and project documentation.
• Participate in an agile development environment, contributing to ceremonies, stand-ups, technical discussions, and collaborative problem-solving.
• Apply modern distributed-systems practices, with opportunities to work with event-driven architectures, distributed transaction patterns, and advanced AI capabilities.

Requirements

• 4–7 years of hands-on professional experience developing production-grade backend applications, ideally at a Software Engineer II level or equivalent.
• Strong expertise in Java and Spring Boot, with proven experience designing and implementing robust REST APIs.
• Practical experience working with both SQL and NoSQL databases, including designing data layers for scalable applications.
• Proven experience deploying and managing backend services on AWS, with hands-on knowledge of Docker and Kubernetes.
• Direct experience integrating production-grade AI models or Large Language Models such as Claude, OpenAI, or Gemini into software applications.
• Demonstrated ability to own features throughout their complete lifecycle, including deployment, monitoring, troubleshooting, and production debugging.
• Strong understanding of backend engineering principles, microservices, system reliability, testing, and scalable software architecture.
• Fluent English, with excellent written and verbal communication skills for daily technical collaboration, documentation, and meetings.
• Strong problem-solving, ownership, collaboration, and communication skills, with the ability to work effectively in distributed and cross-functional teams.
• Experience with distributed transaction patterns such as Saga and Transactional Outbox is a plus.
• Experience with event-driven architecture and message brokers such as Kafka or RabbitMQ is desirable.
• Familiarity with Cucumber, Behavior-Driven Development (BDD), and automated testing is an advantage.
• Experience building autonomous AI agents is considered a strong plus.
• Availability to consistently overlap with teams working in Central Time (CT), including participation in key ceremonies, stand-ups, and collaborative sessions during standard Austin business hours.

Benefits

• Work model: 100% remote, with the opportunity to work from Brazil as part of a distributed LATAM team.
• Contract: Full-time contractor engagement.
• International environment: Work on international projects and collaborate with diverse, globally distributed teams.
• Technical exposure: Hands-on work across Java, Spring Boot, AWS, Docker, Kubernetes, microservices, SQL/NoSQL databases, and modern AI/LLM technologies.
• Career growth: Exposure to challenging software engineering problems, modern architectures, cloud infrastructure, and emerging AI capabilities.
• Flexible collaboration: Remote-first environment with structured collaboration aligned to Central Time.
• Language: Daily communication, documentation, and interviews conducted in English.