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AI coach Tech Lead/Architect

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Hybrid

AI coach Tech Lead/Architect

Palo IT

AI coach Tech Lead/Architect

Skills

Google Cloud PlatformDockerJavaTesting & QAMicroservicesRKafkaRabbitMQSwagger/OpenAPIAIAWSGitHubKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

São Paulo, State of São Paulo, Brazil

Work mode:

Hybrid

Published on:

21 September 2026

What they need


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 Software architect with a strong AI coaching, 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.

Key Responsibilities

  • Lead the design and evolution of technology 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 REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
  • Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.
  • Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
  • Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
  • Encourage AI-first engineering practices (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 17/21/25+) with solid testing practices (e.g., JUnit/Mockito ) and performance awareness.
  • 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 a secure-by-design mindset.

Nice to have / Strong plus

  • 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, and 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.

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