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AI Native Tech Lead

Palo It Agency

Remote PALO IT Brazil Full-time Posted 5mo ago

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

  • We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

  • We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

  • We are robust and resilient (100% independent, 0 debt, founded 2009)

  • We are AI-native professionals who invest in what we believe and work as a collective intelligence

  • We are positive, courageous and deliver at the leading edge.

 

Your Role

As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end hands-on when needed while guiding teams toward scalable, secure, and maintainable solutions.

  • Lead the design and evolution of technological solutions, ensuring scalability, performance, security, and maintainability.

  • Drive architectural decisions and trade-offs (e.g., microservices vs. modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.

  • Design, build and evolve APIs (REST), including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.

  • Define and enforce engineering standards (clean code, test strategy, code reviews, observability, security practices, CI/CD).

  • Mentor and coach engineers, fostering a strong delivery culture and raising the engineering bar across the team.

  • Partner with Product, QA, UX and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.

  • Encourage AI-first engineering practices (e.g., Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

  • 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).

  • Strong backend expertise in Java (ideally 17/25+) or .net, with solid testing practices (JUnit/Mockito) and performance awareness.

  • Strong frontend expertise in Angular (ideally 12+) with TypeScript, RxJS, frontend architecture, and performance best practices.

  • Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.

  • Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and secure-by-design mindset.

  • Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.

  • Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).

  • OAuth2/OIDC, JWT, and security best practices (OWASP).

  • Experience in high-traffic systems, performance tuning, caching strategies.

  • Experience working in AI-assisted engineering environments and setting quality/security guardrails.

  • Excellent communication and stakeholder management skills; able to influence decisions and align teams.

  • Professional English (B2+ preferred) for global collaboration and documentation.

 

AI-Native Engineering (Core Expectation) 

  • Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for: 

  • Code scaffolding and refactoring

  • Code generation and optimisation

  • Test-cases and documentation generation

  • Build applications through AI-driven development practices, including: 

  • AI-assisted debugging and troubleshooting

  • Intelligent code completion and pattern recognition

  • Automated documentation generation

  • Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

  • Validate GenAI output (determinism checks, guardrails, fallback logic).

 

More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

  • Stimulating working environments

  • Unique career path

  • International mobility

  • Internal R&D projects (including Gen-e2™)

  • Knowledge sharing

  • Personalized training via PALO IT Academy

  • Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

 

Posted by Palo It on their own careers page — you apply directly, no recruiter in between. View original / apply →

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