AI-First leadership (mandatory).
Define and operate the team's working model with AI agents.
Lead initiatives to create and evolve agents and automations that accelerate the SDLC.
Implement AgentOps/LLMOps practices.
Integrate agents with tools and systems ensuring security, traceability and governance.
Establish “golden paths” for AI adoption in the build/test/deploy flow.
Lead architectural decisions and the evolution of distributed systems in Java/Spring Boot.
Ensure quality at scale: code reviews, best practices, automated testing, CI/CD, security and observability.

Proven experience as a Tech Lead / Engineering Lead with Java and Spring Boot.
Strong expertise in distributed architecture, integrations (REST/SOAP/messaging) and relational databases (PostgreSQL/Oracle).
Hands-on experience with CI/CD, Docker and an engineering culture focused on quality, testing and security.
Practical experience (hands-on or direct technical leadership) applying AI to the engineering workflow.
Experience with agents and/or orchestration.
Ability to define and operate quality evaluation for agents/AI solutions.
Understanding and application of AI governance and risk (access control, auditing, traceability, data security).

Meal voucher or food allowance;
Flexible benefit (Flash);
Health insurance;
Partners for psychological, legal, financial and nutritional support (CLUDE, C4LIFE and ASQ);
Psychological care via Psicologia Viva;
Dental coverage;
Childcare assistance;
Assistance for children with special needs;
Fertility treatment assistance;
Extended maternity and paternity leave;
Commuter allowance or Home Office allowance (for telework contracts);
Gympass (Wellhub) and TotalPass;
Flexible working hours;
Life insurance;
Employee partner discounts club;
Partnership with Sesc;
Just dress — no dress code;
Birthday day off;
Beca (education incentive program);
PPR or bonus — based on achievement of targets and results.

Tech Lead – Java, AI-Driven Delivery

Key skills