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QAT Global, a US-based IT consulting firm with over 30 years of experience, is seeking a highly skilled Senior Java Technical Lead to join our global engineering team. We deliver world-class technology solutions to clients across the US, Costa Rica, and Brazil, with a strong culture of engineering excellence and innovation. This is a full-time, 100% remote position (CLT hire in Brazil only), offering the opportunity to work directly with our US-based customer while collaborating with cross-functional, distributed teams. Advanced English proficiency is mandatory, as you will communicate daily with US stakeholders. About the Role As a Senior Java Technical Lead, you will be responsible for leading all technical decision-making across backend and frontend development, ensuring architectural consistency, engineering best practices, and high-quality code delivery. This role requires an expert-level Java professional who has begun integrating AI-assisted development workflows, including LLMs such as GPT and Claude, into their software engineering practices. You will lead full-stack developers, collaborate closely with Solution Architects, BAs, DevOps, and AI Engineers, and oversee complex business domains such as Billing, Ledger, Invoice, and Remittance. If you are a seasoned Java engineer who is also evolving into the new era of AI-enhanced software development, this role is for you. Responsibilities Lead all technical decision-making across backend and frontend architecture. Ensure code quality, engineering best practices, and architectural coherence. Guide full-stack developers implementing backend services and UI components. Collaborate with Solution Architect, BA, DevOps, and AI Engineer to translate requirements into scalable, secure solutions. Oversee complex financial and operational domains (Billing, Ledger, Invoice, Remittance). Design, supervise, and optimize workflows that leverage LLMs for code generation, review, and refactoring. Provide technical leadership on when and how to use AI tools safely and effectively. Required Qualifications Core Engineering Skills: Senior-level Java/Spring Boot experience (expert level required). Strong experience with Node.Js, React, and Postgres. Experience with Security, DevOps, Cloud, and GitHub ecosystem. GitHub Advanced Security, GitHub CI/CD pipelines, and versioning best practices. Cloud & Infrastructure: Strong experience with AWS Identity Management. Hands-on expertise with AWS workloads: EC2, RDS, SQS. AI & LLM Experience (Required): Solid understanding of LLMs and its capabilities. Experience with Claude Sonnet 4.5 or similar models for: Code generation Code review Code refactoring Proficiency in prompt engineering, including: Structured prompting Chain-of-thought patterns Constraints-driven prompting Code-oriented prompting Ability to guide developers on the safe, effective use of AI tools in daily engineering work. Preferred Qualifications (Nice to Have) BS/MS in Computer Science, Software Engineering, or related technical fields. Experience leading distributed development teams. Familiarity with modern architectural patterns and enterprise-level systems.
