job specification

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.