Tech Lead Java (Foco em IA)

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Tech Lead Java will be responsible for providing technical direction across backend development initiatives, ensuring high-quality solutions and promoting effective use of AI throughout the engineering lifecycle.

• Lead technical decisions related to backend architecture, development practices, quality standards, and solution design.
• Collaborate with Product Owners and business stakeholders to understand requirements, define technical approaches, and create implementation strategies.
• Translate business needs into technical solutions, user stories, acceptance criteria, and delivery plans.
• Design and guide implementations involving Java applications, microservices, APIs, integrations, messaging systems, and databases.
• Conduct and support code reviews, ensuring security, maintainability, and adherence to engineering standards.
• Support developers in solving complex technical challenges, troubleshooting issues, and evaluating system impacts.
• Apply AI tools to improve requirement analysis, solution design, coding, testing, documentation, and code review processes.
• Guide the adoption of LLMs, RAG, AI agents, multi-agent workflows, and guardrails within software engineering practices.
• Establish best practices for responsible AI usage, ensuring technical validation and avoiding dependency on automated suggestions.
• Work alongside architecture, security, DevOps, and engineering teams to improve delivery processes.
• Support the evolution of development workflows, including CI/CD pipelines, pull requests, testing strategies, and deployment practices.
• Monitor and improve the impact of AI adoption on delivery speed, quality, and reduction of rework.

Requirements:

The ideal candidate has strong backend engineering experience, technical leadership capabilities, and practical knowledge of AI-driven software development approaches.

• Solid experience with Java, Spring Boot, JPA, and Spring Batch.
• Strong knowledge of microservices architecture, hexagonal architecture, APIs, and system integrations.
• Experience working with MongoDB, Oracle, RabbitMQ, and Kafka.
• Experience with automated testing using JUnit and Mockito.
• Familiarity with GitLab, CI/CD processes, and code review practices.
• Ability to design technical solutions and evaluate architectural impacts.
• Experience leading developers technically and facilitating discussions between technology and business teams.
• Practical experience applying Artificial Intelligence in software development workflows.
• Knowledge of LLMs, prompt engineering, and context engineering.
• Familiarity with RAG, AI agents, multi-agent systems, and guardrails.
• Experience working in banking or highly regulated environments.
• Knowledge of AWS, Docker, and Kubernetes is a plus.
• Experience with Kong, Backstage, Datadog, or similar engineering platforms is desirable.
• Familiarity with integrating AI tools into repositories, pipelines, documentation platforms, and enterprise environments.
• Experience with GitHub Copilot, Codex, Claude Code, or similar AI development tools is a plus.
• Knowledge of observability, application security, and DevSecOps practices is desirable.

Benefits:

• Remote work model with flexibility.
• Opportunity to work on high-impact technology initiatives in a complex financial environment.
• Possibility to influence engineering practices and AI adoption strategies.
• Opportunity to work with modern backend technologies and innovative development approaches.
• Collaboration with multidisciplinary teams focused on technology, architecture, and business outcomes.
• Professional growth through challenging projects and continuous learning opportunities.